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Senior Partner PreSales Engineer (Brazil)

Remote Brazil

Business Area Sales EngineeringSeniority Level Mid-Senior levelJob Description At Cloudera we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community Cloudera advances digital transformation for the world’s largest enterprises. At Cloudera we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community Cloudera advances digital transformation for the world's largest enterprises. As aSenior Partner Solutions Engineer you are the trusted technical advisor to the System Integrators ISV/OEMs and hyperscalers that make up Cloudera's partner ecosystem in your region. You own the technical win. You shape target architectures defend them under challenge from a partner's most senior architects and turn partner relationships into repeatable co-sold pipeline. You are a pre-sales professional first — someone who reads a room frames a commercial story and earns trust quickly — backed by a strong current data-platform foundation. The specific region you cover is shown at the top of this description your focus is the partners and customers within it. As the Senior Partner Solutions Engineer you will Own the technical relationship with strategic partners. Become the architect they call first — the person who can turn an ambiguous partner ambition into a defensible buildable plan. Shape partner go-to-market. Drive co-sell motions build joint reference architectures and run defend-and-expand plays that grow the Cloudera footprint against an incumbent rather than merely protecting it. Position Cloudera credibly in competitive situations. Articulate honest specific trade-offs against Databricks Snowflake Confluent and Microsoft Fabric. Partners trust candour not product zealotry — acknowledge where a competitor legitimately wins and show where Cloudera pulls ahead. Lead partner enablement. Design and deliver workshops hands-on labs and a path to certification that makes a partner self-sufficient and motivated to lead with Cloudera. Navigate hybrid and sovereignty conversations. Reason fluently about on-prem data gravity cloud bursting data residency and what 'sovereign' means architecturally as well as commercially. Translate technical depth into partner value. Move comfortably from a whiteboard to a working PoC to a board-ready narrative pitching the value rather than the feature list — making the joint solution genuinely easier for the partner to sell. Build the “better together” story. Produce the repeatable joint assets — first-call decks solution battlecards reference architectures and customer success stories — that let both Cloudera and partner account teams sell the joint value at scale. Develop technical champions inside your partners. Grow a bench of partner-side architects who lead with Cloudera by choice building toward a partner Center of Excellence where it makes sense. Be the Voice of the Partner inside the Organisation and the Voice of the Organisation to the Partner. Carry partners' technical concerns and roadmap needs back to Cloudera product management and engineering and bring Cloudera's strategy roadmap and early product insight back to the partner. Own the technical lifecycle of a partnership. From business case and architecture through solution build and governance — keeping the joint motion on track end to end. Establish thought leadership. Author whitepapers reference blueprints and blog posts and present at partner workshops webinars and industry events. We’re excited about you if you have (Minimum Qualifications) This role is weighted toward pre-sales and partner instinct. We expect a solid current technical foundation — but the bar is your ability to win technically with partners not to be the deepest engineer in the room. A minimum of 15 years in customer- or partner-facing technical roles including substantial hands-on time working with System Integrators ISV/OEMs or hyperscalers. A senior partner- or customer-facing pre-sales track record. You can point to named partners and concrete outcomes you personally moved — deals shaped architectures chosen partners enabled. Commercial and partner-economics instinct. You understand margin services attach and certification economics and you treat a partner as a partner — a route to scale — not as another customer to sell to. Composure and clarity under challenge. A clear story arc a read on your audience and the ability to push back politely on a tough objection without folding or getting defensive. A strong current data-platform foundation. Comfortable across modern data architecture — lakehouse streaming hybrid cloud and GenAI — at the depth a partner's senior architect will respect in a live conversation. Bachelor's degree or equivalent experience and willingness to travel within your region with occasional international travel. You may also have (Preferred Qualifications) Strength in any of these is a differentiator not a gate — we would rather hire a strong pre-sales partner technologist and deepen the specifics than the reverse Hands-on Apache Iceberg / open-lakehouse design and SDX-style governance and lineage. Spark performance debugging and Kafka / Flink streaming architecture at production scale. GenAI and traditional AI from a pre-sales point of view including AI inference serving. Sovereign-cloud frameworks (Gaia-X EUCS) and data-residency-driven architecture. Fluency in the primary business language(s) of your region. Cloudera accelerates organizations' ability to digitally transform their business with the best infrastructure platform industry solutions and expertise. We deliver enterprise-grade solutions that leverage cutting-edge technology. Customers in more than 200 countries and territories turn to Cloudera as their trusted partner to enable growth and solve their most critical business problems. This role is not eligible for immigration sponsorship. What you can expect from us Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA LI-MH2 LI-Remote

Big Data Architect

Chapel Hill, NC

Bright Vision Technologies is a technology consulting and software development company delivering cloud AI data and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Big Data Architect Location 100% Remote (U.S.) Position Type Full-time Direct W2 Salary Range $100000–$150000 Annually Experience Required 6+ years Sponsorship U.S. Citizens Green Card Holders EAD Holders and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake Databricks BigQuery Redshift Spark Kafka lakehouse architectures and cloud platforms with experience building scalable secure and high-performance data solutions. Key Responsibilities Design and lead enterprise data platform architecture and data pipelines Build scalable lakehouse warehouse and streaming solutions Define data modeling governance security and architecture standards Optimize platform performance scalability reliability and cost Collaborate with data engineering analytics ML and business teams Mentor engineers and drive data platform best practices Required Qualifications 8+ years of experience in data engineering including architecture roles Strong expertise in Snowflake Databricks BigQuery Redshift Spark Kafka and cloud platforms Experience with data modeling lakehouse architectures governance and streaming technologies Preferred Qualifications Experience with data mesh dbt LookML or semantic layers Cloud certifications (Snowflake Databricks AWS Azure or GCP) and experience in regulated environments How to Apply Would you like to know more about this opportunity? For immediate consideration please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race color religion sex sexual orientation gender identity or expression national origin age genetic information disability veteran status or any other protected status as defined by applicable federal state or local laws. This commitment extends to all aspects of employment including recruitment hiring training compensation promotion transfer leaves of absence termination layoffs and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR EOHDa85iNn

Senior Software Engineer, Data Platform

San Francisco, CA

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments Cash App has gone from a simple product with a single purpose to a dynamic ecosystem developing unique financial products including Afterpay/Clearpay to provide a better way to send spend invest borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable instantly available and universally accessible. Today Cash App has thousands of employees working globally across office and remote locations with a culture geared toward innovation collaboration and impact. We’ve been a distributed team since day one and many of our roles can be done remotely from the countries where Cash App operates. No matter the location we tailor our experience to ensure our employees are creative productive and happy. The Role We're hiring an experienced software engineer to build and own the data platform that helps teams across the company work with trusted data at scale. This role shapes the foundations for data warehousing orchestration business intelligence governance and Block's agentic workflows. You'll combine strong software engineering with hands-on experience working closely with data building platforms that make it safer and faster for data practitioners to discover produce transform govern and use data. You Will Design build and operate core data-platform capabilities including data warehousing orchestration business intelligence tooling and data governance. Build reliable Python services and developer-facing tools that improve how teams create and operate data products. Develop scalable infrastructure as code with Terraform. Establish patterns that let teams manage petabyte-scale data while maintaining strong governance security reliability and usability. Partner with data engineers analysts scientists and product teams to turn their needs into durable platform capabilities. Evaluate and build agentic workflows that make data work more effective while maintaining appropriate controls and observability. Set technical direction raise engineering standards and mentor other engineers. You Have Senior-level software engineering experience with strong Python skills and a record of designing shipping and operating production systems. Hands-on experience building or operating data platforms data products or large-scale data infrastructure. Experience with Snowflake Databricks or comparable modern data platforms. Experience with Terraform and infrastructure-as-code practices. A practical understanding of the tradeoffs involved in managing petabyte-scale data performance cost reliability access controls lineage quality and governance. Experience collaborating directly with data practitioners and empathy for the workflows they use to turn data into decisions. Strong technical judgment clear communication and the ability to lead across teams. Technologies We Use and Teach Languages Python Kotlin Data platforms Snowflake Databricks Apache Iceberg Orchestration & transformation Apache Airflow dbt Prefect Infrastructure as code & CI/CD Terraform Buildkite GitOps Catalog lineage & data quality DataHub Anomalo BI & analytics Looker Omni Cloud AWS    Block takes a market-based approach to pay and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills experience qualifications work location and market conditions. These ranges may be modified in the future.To find a location’s zone designation please refer to this resource. If a location of interest is not listed please speak with a recruiter for additional information.   Zone A $217800 USD - $326800 USD Zone B $207000 USD - $310400 USD Zone C $196100 USD - $294100 USD Zone D $185200 USD - $277800 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations including bias audits and we handle all personal data in accordance with state and local privacy laws.  Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal empowering you to do the best work of your career while building the life you want. Remote work medical insurance flexible time off retirement savings plans and modern family planning are just some of our offering. Check out our other benefits at Block. Block Inc. (NYSE XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.  Square  makes commerce and financial services accessible to sellers.  Cash App  is the easy way to spend send and store money.  Afterpay  is transforming the way customers manage their spending over time.  TIDAL  is a music platform that empowers artists to thrive as entrepreneurs.  Bitkey  is a simple self-custody wallet built for bitcoin.  Proto  is a suite of bitcoin mining products and services. Together we’re helping build a financial system that is open to everyone. Privacy Policy

Data Product Analyst, Corporate

About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software AI cloud e-commerce ridesharing and payments. Our data and research teams transform raw data into strategic intelligence delivering accurate timely and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing our teams ensure clients get not just data but clarity and confidence. We operate globally with offices in the US APAC and India. Our award-winning people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency ownership and continuous mastery. What It’s Like to Work at YipitData YipitData isn’t a place for coasting—it’s a launchpad for ambitious impact-driven professionals. From day one you’ll take the lead on meaningful work accelerate your growth and gain exposure that shapes careers. Why Top Talent Chooses YipitData Ownership That Matters You’ll lead high-impact projects with real business outcomes Rapid Growth We compress years of learning into months Merit Over Titles Trust and responsibility are earned through execution not tenure Velocity with Purpose We move fast support each other and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth impact and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role YipitData’s Corporate team collaborates directly with organizations like Ulta 3M and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate reliable and actionable insights we enable our clients to understand not just what is happening in their businesses but why —and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. As part of our continued growth we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact data-driven products to our Retail clients. This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set gain direct exposure to clients and join a rapidly growing team at YipitData. In this role you will independently manage data quality end-to-end resolve complex issues across data pipelines and sources improve category classification and product attribution collaborate closely with cross-functional partners to ensure our data is accurate reliable and clearly understood and help our clients understand our methodology and data limitations. This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth enjoys helping clients get the most value from our data able to communicate complex problems in simple terms to internal and external stakeholders. As a Data Product Analyst at our Retail team you will Ramp up quickly to become the primary owner of high-impact data deliverables driving product success by delivering best-in-class outputs with a focus on accuracy client value and efficiency Design maintain and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies limitations and coverage Independently investigate and resolve complex data quality issues Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value and develop technical solutions that streamline workflows optimize data processes and expand automation Proactively identify opportunities to improve efficiency robustness and data quality within your team’s workflows and mentor peers accordingly You Are Likely To Succeed If You have 4-6 years of experience in data analytics data operations or consulting You have 4+ years of experience working with SQL Python Pyspark or other programming languages to explore and transform large complex datasets Familiarity with Github and Databricks You have experience using sample or panel data to make precise estimates that guide decision-making You have a proven track record of quickly learning new concepts particularly complex data methodologies You can clearly communicate complex concepts both orally and in writing You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company You can manage multiple projects simultaneously independently prioritize tasks and make strategic decisions based on client needs You enjoy mentoring peers and raising the quality bar through shared standards and best practices Preferred Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company with a strong understanding of their business needs What We Offer Our compensation package includes comprehensive benefits perks and a competitive salary We care about your personal life and we mean it. We offer flexible work hours flexible vacation a generous 401K match parental leave team events wellness budget learning reimbursement and more! Your growth at YipitData is determined by the impact that you are making not by tenure unnecessary facetime or office politics. Everyone at YipitData is empowered to learn self-improve and master their skills in an environment focused on ownership respect and trust. See more on our high-impact high-opportunity work environment above! The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible. The final offer may be determined by a number of factors including but not limited to the applicant's experience knowledge skills abilities as well as internal team benchmarks. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin Miami and Mountain View. If the remote work is performed outside of these offices income may be subject to New York State tax withholding. Please note that for this position we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age marital status disability gender gender identity or expression or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Global Customer Data Analyst

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables the proliferation of rooftop solar batteries and EVs and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight is the analytics platform that makes this possible. Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonisation. We are an AI-powered vertical SaaS platform that enables electric utilities to modernise grid operations accelerate DER interconnection and unlock dynamic grid capacity. The opportunity is enormous. Why Now Gridsight was founded in Australia five years ago. Since then we’ve established strong product–market fit and emerged as the category leader. We are now scaling rapidly across the US with multiple Top 20 utilities. This role exists because we're growing faster than our current implementation process and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster. You'll be working at the intersection of delivery and data — close to customers close to the commercial team and close to the product and engineering decisions that shape what we build next. The Role As a Customer Data Analyst you'll turn our utility customers' data into actionable insights. You'll build dashboards and visualisations that help customers see and understand their grid and deliver bespoke analysis that answers questions they can't yet answer themselves. You'll work alongside our Power Engineers who bring deep subject matter expertise and lead technical delivery with customers. You'll partner with our Customer Data Engineers to make sure the data you need is available well-structured and reliable. And you'll work with Product to translate recurring analyses into platform features when we see enough demand across the market. Gridsight runs an AI-forward stack that gives the team access to best-in-class tooling across data infrastructure orchestration and AI-assisted development including Databricks dbt Dagster AWS and enterprise Claude Code. Staying ahead of the curve is part of the job. This is a great role for someone who loves working with data enjoys being close to customers and wants to see their analysis evolve from a one-off deliverable into a product used across the industry. Key Responsibilities Analytics & Visualization (~55%) Build dashboards and visualizations for customers making complex grid data clear and actionable. Translate customer business questions into analytical tasks and communicate findings clearly to both technical and non-technical audiences. Deliver ad hoc and bespoke analysis to answer questions and surface insights that aren't yet available through the product. Validate outputs against quality standards to ensure analysis is accurate and trustworthy. Customer Delivery Support (~25%) Work alongside Power Engineers who provide subject matter expertise and lead technical delivery to support end-to-end customer engagements. Partner with Customer Data Engineers to ensure the data required for analytics is available correctly mapped and fit for purpose. Debug data and analysis issues with composure — triaging problems communicating clearly with customers and driving resolution. Product Support (~20%) Identify and communicate patterns across customer engagements to inform product direction. Partner with Product to translate bespoke analyses into repeatable platform-ready features where there's enough demand and signal from customers across the market. Contribute to internal documentation playbooks and tooling that improve the efficiency and consistency of future analytics and delivery work. Bring a tool-first mindset spot manual steps that can be automated and take initiative to improve them. Qualifications 2+ years of professional experience in data analytics analytics engineering data engineering technical consulting or a similar role combining hands-on data work with stakeholder engagement. Strong SQL skills and demonstrated ability to analyse validate and wrangle complex or messy datasets. Experience building dashboards and data visualizations. Proficiency in Python for data analysis transformation and scripting. Ability to communicate data-driven findings clearly to both technical and non-technical audiences. Experience with cloud data infrastructure and modern development practices (Git command-line environments collaborative codebases). Exposure to dbt or similar ELT/ETL frameworks. Strong problem-solving skills and a methodical approach to troubleshooting technical issues. Proven problem-solving abilities and a self-starter mentality comfortable working in a fast-paced startup environment. What We Offer Competitive salary. We hold high expectations but pay accordingly. Meaningful ESOP so you share in the growth of Gridsight. $2500 WFH allowance $2500 health and wellness allowance bi-annual in person working weeks and lunch is on us when you’re in office. Work how you like. Fully remote hybrid or in office with a fresh new head office in Sydney and satellite spaces in Melbourne Brisbane and Hobart.

Sr. Healthcare Data Analyst (Medicaid)

This position is listed on behalf of a partner company who manages all applications and next steps. Our partner is looking for a Sr. Healthcare Data Analyst (Medicaid) based in Belgium. This is a senior data analytics opportunity focused on using healthcare data to strengthen Medicaid program oversight. You will analyze large and complex datasets to identify patterns vulnerabilities and potential areas of fraud waste and abuse. The role combines advanced analytics Medicaid policy knowledge research and data visualization to turn complex information into actionable insights. You’ll work closely with technical teams and leadership to investigate challenging questions and develop practical analytical solutions. Your findings will help inform decisions with meaningful implications for program integrity and public-sector healthcare outcomes. The environment values collaboration critical thinking clear communication and the ability to work independently on complex problems. This role offers the opportunity to apply your healthcare data expertise to mission-driven work with tangible societal impact. Accountabilities Perform advanced analysis interpretation and reporting of Medicaid data developing methodologies and analytical approaches that support program oversight. Analyze large datasets to identify meaningful patterns trends anomalies vulnerabilities and high-risk areas within the Medicaid program. Conduct research combining Medicaid policy knowledge with detailed claims analysis to investigate potential fraud waste abuse and other program integrity concerns. Develop analytical rules methodologies and solutions that translate complex healthcare data into actionable insights. Apply exploratory research and critical thinking to understand program requirements and determine how data can inform decision-making. Build compelling data visualizations dashboards and reports that communicate complex findings clearly to technical and non-technical audiences. Present analytical conclusions and recommendations through written verbal and visual communication. Collaborate proactively with leadership and multidisciplinary team members to identify solutions to complex analytical challenges. Contribute to data-driven approaches that support the detection and prevention of fraud waste and abuse across Medicaid programs. Requirements Bachelor’s degree in a relevant discipline and 5+ years of professional experience conducting advanced analysis of Medicaid data. Strong hands-on experience with T-MSIS data and demonstrated expertise analyzing Medicaid datasets. Proficiency with SQL Python Tableau Databricks Snowflake or comparable data analytics reporting dashboarding and visualization technologies. Proven ability to work efficiently with large and complex datasets and uncover actionable patterns and trends. Experience developing advanced analytical solutions that address business or program challenges through a strong understanding of Medicaid policy. Demonstrated experience creating analytics and visualization solutions designed to identify and help prevent healthcare fraud waste and abuse. Strong statistical analysis research data interpretation and problem-solving capabilities. Ability to translate complex analytical findings into clear recommendations for audiences with varying levels of technical expertise. Excellent written and verbal communication skills with confidence presenting findings to stakeholders and leadership. Strong collaboration skills combined with the ability to work independently prioritize effectively and take ownership of complex analytical assignments. Ability to obtain and maintain the required NACI (Tier 1) public trust designation. Willingness to work remotely with limited travel expected to be less than 10%. Benefits Competitive estimated salary range of $106250–$143750 USD annually with final compensation based on experience location and applicable contractual considerations. Fully remote work environment. Full-time schedule of approximately 40 hours per week. Medical plan options including plans with Health Savings Accounts. Dental and vision insurance options. 401(k) retirement plan with company matching and pre-tax/post-tax contribution options. Flexible work arrangements and full-flex work weeks where applicable. Paid vacation sick personal and holiday leave. Typically 15 days of paid leave per calendar year for new employees plus 10 paid holidays subject to applicable prorating. Paid parental leave including up to 160 hours of paid family leave during a rolling 12-month period for eligible employees. Military bereavement and jury duty leave. Short- and long-term disability coverage and life insurance options. Accidental death and dismemberment personal accident critical illness and business travel and accident insurance offerings. Opportunity to contribute to mission-driven healthcare analytics and public-sector program integrity initiatives. Professional growth through work involving advanced data analytics visualization and large-scale healthcare datasets. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly objectively and fairly against the role's core requirements. Our system identifies the top-fitting candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice By submitting your application you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access rectification erasure objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Global Customer Data Analyst

Melbourne, Victoria, Australia

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables the proliferation of rooftop solar batteries and EVs and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight is the analytics platform that makes this possible. Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonisation. We are an AI-powered vertical SaaS platform that enables electric utilities to modernise grid operations accelerate DER interconnection and unlock dynamic grid capacity. The opportunity is enormous. Why Now Gridsight was founded in Australia five years ago. Since then we’ve established strong product–market fit and emerged as the category leader. We are now scaling rapidly across the US with multiple Top 20 utilities. This role exists because we're growing faster than our current implementation process and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster. You'll be working at the intersection of delivery and data — close to customers close to the commercial team and close to the product and engineering decisions that shape what we build next. The Role As a Customer Data Analyst you'll turn our utility customers' data into actionable insights. You'll build dashboards and visualisations that help customers see and understand their grid and deliver bespoke analysis that answers questions they can't yet answer themselves. You'll work alongside our Power Engineers who bring deep subject matter expertise and lead technical delivery with customers. You'll partner with our Customer Data Engineers to make sure the data you need is available well-structured and reliable. And you'll work with Product to translate recurring analyses into platform features when we see enough demand across the market. Gridsight runs an AI-forward stack that gives the team access to best-in-class tooling across data infrastructure orchestration and AI-assisted development including Databricks dbt Dagster AWS and enterprise Claude Code. Staying ahead of the curve is part of the job. This is a great role for someone who loves working with data enjoys being close to customers and wants to see their analysis evolve from a one-off deliverable into a product used across the industry. Key Responsibilities Analytics & Visualization (~55%) Build dashboards and visualizations for customers making complex grid data clear and actionable. Translate customer business questions into analytical tasks and communicate findings clearly to both technical and non-technical audiences. Deliver ad hoc and bespoke analysis to answer questions and surface insights that aren't yet available through the product. Validate outputs against quality standards to ensure analysis is accurate and trustworthy. Customer Delivery Support (~25%) Work alongside Power Engineers who provide subject matter expertise and lead technical delivery to support end-to-end customer engagements. Partner with Customer Data Engineers to ensure the data required for analytics is available correctly mapped and fit for purpose. Debug data and analysis issues with composure — triaging problems communicating clearly with customers and driving resolution. Product Support (~20%) Identify and communicate patterns across customer engagements to inform product direction. Partner with Product to translate bespoke analyses into repeatable platform-ready features where there's enough demand and signal from customers across the market. Contribute to internal documentation playbooks and tooling that improve the efficiency and consistency of future analytics and delivery work. Bring a tool-first mindset spot manual steps that can be automated and take initiative to improve them. Qualifications 2+ years of professional experience in data analytics analytics engineering data engineering technical consulting or a similar role combining hands-on data work with stakeholder engagement. Strong SQL skills and demonstrated ability to analyse validate and wrangle complex or messy datasets. Experience building dashboards and data visualizations. Proficiency in Python for data analysis transformation and scripting. Ability to communicate data-driven findings clearly to both technical and non-technical audiences. Experience with cloud data infrastructure and modern development practices (Git command-line environments collaborative codebases). Exposure to dbt or similar ELT/ETL frameworks. Strong problem-solving skills and a methodical approach to troubleshooting technical issues. Proven problem-solving abilities and a self-starter mentality comfortable working in a fast-paced startup environment. What We Offer Competitive salary. We hold high expectations but pay accordingly. Meaningful ESOP so you share in the growth of Gridsight. $2500 WFH allowance $2500 health and wellness allowance bi-annual in person working weeks and lunch is on us when you’re in office. Work how you like. Fully remote hybrid or in office with a fresh new head office in Sydney and satellite spaces in Melbourne Brisbane and Hobart.

Senior SAP CAP Java Developer

Do you have background and wide experience in SAP and strong knowledge in CAP and Java? Are you an open-minded professional with good English skills? If it sounds like you this could be the perfect opportunity to join EPAM as Senior SAP CAP Java Developer . EPAM is shaping the digital future for Fortune 1000 companies building complex solutions using modern technologies. We are seeking a talented SAP CAP Java Developer to lead the design and development of innovative applications and services for customers on an Agile Product Team. Shape application architectures and integrate solutions on the SAP Business Technology Platform connecting with Azure and Databricks environments. Remote working from anywhere in Portugal is welcome! Responsibilities Architect and drive development of applications backend services and APIs focusing on data persistency ingestion processing and cataloging Establish and advocate best practices in application development including CI/CD Ensure high-quality code and robust application architecture Fulfill requirements to deliver effective and productive applications Lead initiatives to drive product quality adoption and overall success Collaborate with cross-functional teams Integrate solutions with cloud platforms Support Agile development processes Requirements Skills in application services and API development in cloud environment Good knowledge of common technology patterns such as REST and event-driven architecture Proficiency in backend development frameworks like Java Spring Boot and Node.js Experience with JavaScript UI development frameworks such as Angular Vue.js or React Experience in developing and maintaining solutions on SAP Business Technology Platform Experience integrating with Azure and Databricks Nice to have Familiarity with Agile methodologies ideally SAFe Experience with Cloud Application Programming (CAP) SAP UI5 or BTP Workflow Practical knowledge of DevOps methodologies and tools such as GitHub and Jenkins We offer Competitive compensation depending on experience and skills Variety of projects within one company Being a part of a project following engineering excellence standards Individual career path and professional growth opportunities Internal events and communities Flexible work hours

Senior Solutions Architect

Camp Springs, MD

Location 100% Remote Travel Ability to be onsite in Camp Springs MD for project support as needed Years’ Experience 10+ Years of experience Education Bachelor’s Degree Required Clearance Applicants must be able to obtain and maintain a Public Trust security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance. Key Skills Must have experience designing complex technical solutions Professional expertise in development DevSecOps AI/ML engineering and technical architecture including designing and deploying enterprise cloud applications with AI/ML on AWS Currently possess or ability to obtain an AWS Solutions Architect Certification – Associate or Professional certification Responsibilities Design comprehensive technical solutions that address complex business challenges and identify architectural improvements across multiple technology domains. Evaluate and optimize solution architectures to improve performance security and cost-effectiveness of technology implementations. Collaborate with data scientists machine learning engineers and development teams to architect integrated solutions while providing technical leadership and implementation guidance. Support business development and account growth by contributing solution architecture expertise to pipeline development and strategic planning initiatives. Participate in strategic planning sessions focused on solution portfolio expansion and enterprise growth objectives. Provide solution architecture guidance and technical advisory services to ensure secure complaint and well-integrated technology implementations. Engage directly with senior government executives to present solution architectures provide technical consultation and serve as a trusted advisor on complex technology initiatives. Qualifications 10+ years of experience in development DevSecOps AI/ML engineering and technical architecture including 3+ years in designing and deploying enterprise cloud applications with AI/ML on AWS. Bachelor’s degree in computer science Data Science or IT related field. Must be able to obtain and maintain the required Public Trust security clearance. AWS Solutions Architect Certification - Associate or Professional (Preferred or ability to obtain). Must have solution architecture experience with expertise in translating complex business requirements into scalable technical designs and guide cross-functional teams through implementation. Hands-on experience architecting unified analytics platforms using Databricks for large-scale data processing machine learning workflows and collaborative data science initiatives. Experience leading application modernization initiatives including decomposition of monolithic systems legacy platform decommissioning and migration to service-oriented or microservices architectures. Experience designing and implementing real-time data streaming architectures using Apache Kafka or other types of message brokers for high-throughput fault-tolerant event processing and data pipeline integration. Experience architecting search and analytics solutions using the Elastic stack and/or Amazon OpenSearch. Background in software development and are proficient in solution architecture patterns including microservices event-driven architecture and can provide guidance on architecture pattern selection and best practices.

Senior Platform Engineer

We are looking for a Senior Platform Engineer to join our team and drive the administration governance and automation of our Data Lake and Azure Databricks platforms. Your work will play a key role in building scalable secure and efficient solutions that support SAP's cloud operations enterprise analytics and machine learning initiatives. Unlock the potential of remote work in Kazakhstan giving you the flexibility to work from home or access our offices in Astana Almaty or Karaganda. Responsibilities Administer and manage Azure Data Lake Storage Gen2 and Databricks workspaces Implement and enforce access management policies leveraging RBAC and Entra ID Apply Databricks governance concepts including Unity Catalog access control and data lineage Develop automation scripts and integrate with REST APIs to configure and monitor the platform Ensure platform operational health by monitoring incident response and troubleshooting Collaborate with global stakeholders to establish platform standards and governance frameworks Optimize platform performance and resolve technical issues effectively Document processes best practices and guidelines for platform usage Contribute to the design and enhancement of the data lake infrastructure to support evolving business needs Requirements 3+ years of professional experience in Platform Engineering or related roles Strong experience with Microsoft Azure specifically Azure Data Lake Storage Gen2 and Azure Databricks Knowledge of Azure access management techniques such as RBAC and Entra ID Background in Databricks governance with expertise in Unity Catalog's catalog management access control and data lineage Advanced skills in Python for scripting and automation Proficiency in working with REST APIs for platform configuration and administration Understanding of DevOps principles including incident management monitoring and operational health Experience in enterprise-grade environments with distributed globally diverse teams Competency in analyzing and solving complex technical challenges with attention to detail English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Experience with Agile methodologies including Scrum or SAFe Background in Databricks workspace configuration job orchestration and cluster policy management Showcase of contributions to platform standards governance solutions or shared automation resources Familiarity with infrastructure-as-code tools such as Terraform or ARM templates Understanding of CI/CD workflows and DevOps toolchain implementation We offer We connect like-minded people + Delivering innovative solutions to industry leaders making a global impact + Enjoyable working environment whether it is the vibrant office or the comfort of your own home + Opportunity to work abroad for up to two months per year + Relocation opportunities within our offices in 55+ countries + Corporate and social events We invest in your growth + Leadership development career advising soft skills and well-being programs + Certifications including GCP Azure and AWS + Unlimited access to EPAM's internal learning database + Free English classes with certified teachers + Discounts in local language schools including online courses for the Kazakh language We cover it all + Participation in the Employee Stock Purchase Plan + Monetary bonuses for engaging in the referral program + Medical & family care package + Six trust days per year (sick leave without a medical certificate) + Coverage of psychology sessions of your choice + Benefits package (sports activities a variety of stores and services) + Housing support program preferential mortgage access via Otbasy Bank partnership EPAM is global leader in AI transformation engineering and integrated consulting serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software product and platform engineering we empower our clients to become AI-Native enterprises driving measurable value from innovation and digital investments.