Top Data & Analytics Jobs in San Francisco, CA

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.

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.

Lead and grow a team building and maintaining a petabyte-scale data platform. Drive long-term planning, platform expansion, AI roadmap, cross-functional collaboration, and hiring while ensuring security, privacy, and scalable infrastructure.

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.