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 and maintain reliable data pipelines and computed tables using SparkSQL and PySpark. Ingest, transform, and integrate structured and unstructured data from IoT devices, software products, external datasets, and customer metadata. Deliver high-quality data for analytics, dashboards, causal inference, and machine learning. Collaborate with data scientists, analysts, AI/ML teams, and engineers while ensuring strong uptime, scalability, and data model quality.

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.