Top Data & Analytics Jobs in San Francisco, CA

Design and build Databricks ETL pipelines and Gold Layer tables, develop semantic models and documentation for AI-enabled BI, create dashboards and ad-hoc analyses, translate marketing and sales requirements into analytics-ready datasets, and partner with Data Engineering and stakeholders to enable self-serve reporting and agentic AI workflows.

Design, build, and operate large-scale data pipelines and Spark/PySpark workflows; architect and evolve Samsara's data platform; build MCP servers and AI-agent tooling; optimize performance, ensure data quality and observability; mentor engineers and lead cross-functional projects to deliver scalable data products for analytics and business teams.

Lead GTM data governance and strategy to improve Salesforce and adjacent systems' data accuracy, ownership, and usability. Define KPIs linking data quality to pipeline and forecast, drive cross-functional execution, implement scalable intake/change processes, and build a team to operationalize data standards that accelerate revenue performance.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate diverse sources (including unstructured video/audio and IoT telemetry), ensure high data quality and uptime, and collaborate with Data Science, Analytics, and ML teams to support model training, dashboarding, and analytics.