Top Senior Data & Analytics Jobs in Sacramento, CA

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Lead development of SMB customer insights and targeting cohorts, analyze large multi-source datasets, build analytical models, deliver quick-turn actionable reports, advise leadership on GTM strategy, and drive CloudAscent adoption across sales and partner teams.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

Lead a team of data engineers in designing and maintaining scalable data infrastructure and pipelines, ensuring data integrity and decision-making support.

The Director of Data Platforms & Governance will define the strategy and architecture for a data platform, lead the data platforms team, and ensure data governance and integration with enterprise systems.

The Data Engineering Manager will lead a team, driving technical growth, fostering collaboration, and ensuring effective data architecture and systems.

As a Senior Analytics Engineer, you'll design and manage data pipelines, develop reporting solutions, and provide actionable insights using data to improve healthcare delivery while collaborating across teams.

The Senior Product Data Analyst will lead analytics projects, providing strategic insights into SaaS product usage and customer behavior, while collaborating with various teams to drive business outcomes and improve product features.

The Sr. Data Analyst Sales will provide strategic insights, develop analytical solutions, and manage stakeholders to improve sales performance. They will use SQL and Tableau to create dashboards and maintain data integrity.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.