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Build and scale the backend data infrastructure for an AI-driven health platform, using GCP, Spark, Databricks, and CDC tools to process lab results, imaging, and member data in real time.
Build and maintain cloud data platforms, dashboards, and AI-assisted workflows to turn biomedical and climate datasets into actionable investment insights using SQL, Python, Databricks, and Snowflake.
Lead a team to build and maintain scalable data pipelines on Databricks and AWS, ensuring reliable ingestion, transformation, and delivery of high-quality data for analytics using Delta Lake, Unity Catalog, and AWS services.
Design and build scalable data pipelines and models in Databricks and Azure to power analytics and AI for SOCOTEC’s digital platforms in the built-environment sector.
Designs and governs enterprise-scale data architectures on Microsoft Fabric, Azure, and core systems, ensuring secure, performant integrations and AI/ML integration while enforcing governance and continuity standards.
Lead a team to deliver executive reporting, KPI frameworks, and data governance for Assurant’s Global Sourcing organization, ensuring data quality and actionable insights for strategic decisions.
Drive Data Governance at a product company: set policies, coordinate stewards, and maintain high-quality business definitions across data models while engaging stakeholders.
Builds a high-performance object storage engine for AI and cloud, optimizing metadata, persistence, and low-latency retrieval in C/C++ on Linux.
Designs and optimizes Snowflake-based data platforms for banking/financial clients, focusing on data architecture, pipelines, security, and compliance while collaborating with engineering and analytics teams.
Designs secure, end-to-end systems for government missions, integrating cloud infrastructure and data modeling while ensuring compliance with technical and security constraints.
Leads data governance and strategy for Platinum-level enterprise data sources, documenting specifications, metadata, and lineage in tools like Collibra to ensure trusted, discoverable data assets for business and analytics teams.
Senior role building scalable cloud data pipelines and warehouses on AWS to power analytics and BI for a global convenience-retail tech company.
Senior Database Engineer designs and maintains relational, graph, and semantic databases for Object-Based Intelligence, knowledge graphs, and AI/ML analytics in a government cybersecurity context.
Leads data governance for Morgan Stanley’s Private Wealth Management, establishing frameworks, managing governance committees, and ensuring data quality/regulatory compliance across systems and stakeholders.
Build and maintain data-quality controls, ETL pipelines, and Power BI dashboards for a global manufacturing data platform, ensuring clean customer, supplier, and item master data.
Designs and builds cloud data pipelines and analytics platforms on Azure/Databricks to support AI-driven insights for food and beverage processing plants.
Designs scalable data platforms and governance frameworks, integrating cloud/on-prem systems, ETL pipelines, and AI-enabled solutions for enterprise clients.
Support clients in designing and implementing data governance frameworks, processes, and tools, including data quality, cataloging, and security, using SQL, ETL, and MDM platforms.
Lead a team to build and scale cloud-based data platforms (Snowflake, SQL Server) that power analytics and AI, while defining enterprise data strategy and governance.
Who You’ll Work With At Nike, we leverage the transformative power of data and technology to empower athletes* everywhere. The Data & AI (DAI) team is instrumental in building advanced platforms that are scalable,…
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