Senior Data Modelling Dataverse Jobs

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX Data Team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a Product Manager of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. What You’ll Be Doing Deeply understand business goals and pain points : Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions. End-to-end data solution design : Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Analytics Engineer As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale. What you'll do: Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams. Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures. Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization. Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization. D

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Manager/ Sr. Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale. This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance. You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency. This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership. You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions. In this role, you will: Set vision and lead execution Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy. Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives. Build and lead a high-performing team Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders. Establish best practices across data modeling, experimentation, an

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

Become a part of our caring community The Senior Business Intelligence Architect responsible for building business intelligence processes for data consumption and business decision making, based on the organization’s data structure. The Senior Business Intelligence Architect work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Partner with business and technology stakeholders to design, support, and enhance business intelligence solutions. Understand and prioritize data and information needs and translate them into scalable analytics solutions. Solve complex business problems using internal and external data sources. Design and optimize business intelligence architecture, processes, standards, and solution performance. Create testing methodologies, validation criteria, and quality controls for business intelligence solutions. Develop governance standards, policies, procedures, and data quality metrics. Translate requirements across business, project management, and technical teams. Research emerging technologies and develop business cases for new business intelligence solutions. Provide technical guidance and consultation to business and technology teams to drive effective use of business intelligence solutions. Make decisions on moderately complex to complex technical and architectural issues with minimal direction. Required Qualifications Bachelor's degree and 5 or more years of experience in data analysis, business intelligence, data architecture, or related disciplines. Advanced experience working with large and complex data sets within large healthcare organizations. Advanced proficiency in SQL, data modeling, and analytics platforms. Experie

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior BizOps Analyst - Product Operations to join our team. This is a hybrid role, reporting to the Director, Product Revenue in the Product Operations department. In this fast-paced, high-impact individual contributor role, you will combine strong business acumen with SQL, Python, data modeling, dashboards, custom data applications, and AI-enabled workflows. You will help Product Operations turn ambiguous business problems into clear signals, scalable analytics, decision workflows, and practical tools that improve how teams operate. What you’ll do (Role Expectations) Partner with Product leadership to clarify high-priority business questions and define the signals, dashboards, workflows, or AI agents needed to accelerate product and operational decision-making Own the Product Operations signals repository as the single source of truth for business logic, data inputs, definitions, own

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

The team MongoDB's Application Modernization Platform (AMP) organization is the front door of our modernization business. In our Data Migration practice we move production data - safely, repeatably, at enterprise scale - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB. We do this both as standalone migration programmes and as the data workstream inside larger application-modernization engagements, using MongoDB's own tooling - Relational Migrator, Cluster-to-Cluster Sync, Atlas Stream Processing - alongside the open-source and cloud-native pipeline ecosystem. Our mission is to help our customers be successful by leading end-to-end their journey to MongoDB. In an era where AI agents handle routine migration mechanics - such as workload assessments, schema and query translations, and large-scale validation - our consultants focus on the high-judgment decisions that directly mitigate risk. Joining us now means helping draft the playbooks while they are actively being defined. We are seeking builders who prefer creating new frameworks over following legacy instructions. This role will be based remotely in Germany. Position expectations Delivery Plan and lead the technical delivery of data migration engagements end to end: source estate assessment, migration strategy and wave planning, schema and data-model transformation, pipeline build, validation, and production cutover with minimal downtime Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations - using Kafka and the connector ecosystem, Debezium and comparable log-based CDC tooling, and cloud-native replication services Bring genuine platform depth on the estates our customers are leaving: Cassandra data modeling and anti-patterns, Cosmos DB (Core and Mongo API) partitioning and RU economics, DocumentDB's compatibility surface - and use it to de-risk what the cu

Omada Health is on a mission to bend the curve of chronic disease. About the Role: Join our Revenue Operations team as the business partner to our growing Customer Success organization. You'll own the end-to-end B2B2C enrollment funnel—from eligibility through outreach to member enrollment—building the data, metrics, and operating cadence that drive measurable growth. This is a senior, outcomes-focused role. Success means turning complex data into clear recommendations, moving work from analysis to action, and driving cross-functional alignment to deliver results. What You’ll Own: Own enrollment funnel reporting across eligibility, outreach, and member conversion. Build and maintain a unified data model linking B2B customer activity to B2C member outcomes, standardizing funnel stages, metrics, and attribution. Identify and resolve data gaps, system disconnects, and process inefficiencies limiting enrollment visibility. Develop dashboards and insights that help CSMs and leaders improve funnel health, outreach performance, and conversion. Lead stakeholder reviews with clear recommendations, decisions, owners, and next steps. Partner with field teams to build practical analytics that incorporate frontline insights and drive adoption. Collaborate across Operations, CSM, Marketing, and Engineering to improve data quality, integrations, and reporting. Establish operating rhythms to track funnel performance, drive accountability, and enable continuous improvement. Lead Customer Success annual planning, including capacity, territories, quotas, incentives, roadmaps, and targeting. About You: You have built or optimized multi-stage funnels across systems and teams, bringing structure to ambiguous, fragmented data through strong data modeling, systems thinking, and stakeholder influence. You ship. A strong bias toward action; you move work from analysis to decision to completion on time with clear milestones, flagging timeline changes before they impact stakeholders. You lead

AI only answers correctly when it can trust the data underneath it. This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy. The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work. This is some of the most visible, fastest-growing surface area in the product. The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it — get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge. What you'll do Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model. Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI. Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working. Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge. Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate for this role will have 6+ years of engineering experience in backend systems, distributed systems, or core platform development. Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning. Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) Exposure to client-side technologies such as JavaScript and React is a plus Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and wri