Technical Program Manager (Data Platform)

Technical Program Manager (Data Platform) Location: Mountain View, CA / Plano, TX (Hybrid) About the Role We are seeking an experienced Technical Program/Product Manager (TPM) to lead the end-to-end delivery of our modern data platform. This role involves driving multi-team programs focused on designing, building, and scaling a secure, cost-efficient Lakehouse architecture on AWS . You’ll work cross-functionally with data engineering, platform, security, and product teams to implement capabilities in Databricks (Delta Lake, Unity Catalog, Workflows/Jobs, Delta Live Tables) and support event-driven data products using AWS EventBridge , Kafka , and Kinesis — across both real-time streaming and batch pipelines. Key Responsibilities Own the program delivery lifecycle for enterprise data platform initiatives. Coordinate roadmaps, manage dependencies, and mitigate risks across teams. Define and track program metrics, SLAs, and success KPIs. Build dashboards and executive reports to communicate program progress and business impact. Lead quarterly roadmap planning and prioritization efforts. Partner with engineering leads on design decisions, scaling strategy, and cost optimization. Manage delivery of new data capabilities in Databricks and event-driven environments. Oversee migration efforts from legacy ETL tools (Informatica or equivalent) to modern lakehouse patterns. Drive FinOps practices to optimize data compute spend. Apply AI-native and GenAI-agent product thinking to improve program execution. Required Skills & Experience 7+ years of experience in technical program or product management within data platform environments. Deep understanding of Databricks, AWS, and event-driven architectures. Proven experience managing large-scale, cross-functional programs in Agile settings. Hands-on experience with data lakehouse architectures, streaming pipelines, and batch ETL processes. Strong executive communication and stakeholder management skills. Experience in Informatica or similar enterprise ETL tools. Familiarity with AI-native tooling (Builder.io, Cursor, etc.) and modern data ecosystems. Ability to prototype, experiment, and drive execution independently. Preferred Qualifications Prior experience managing migrations from legacy ETL to Databricks or AWS-based lakehouse systems. Exposure to enterprise internal data platforms and FinOps cost governance. Deep understanding of semantic models, analytical consumption layers, and modern BI tools. What You’ll Bring A combination of technical fluency and delivery excellence. The ability to bridge the gap between data engineers, architects, and business stakeholders. A forward-thinking mindset — blending data, AI, and product innovation. #J-18808-Ljbffr