Technical Product/Program Manager

Job Title: Senior Technical Product/Program Manager Data platforms management
Location: Mountain View CA (Day 1 onsite)
Duration: Contract
Job Summary
Drive the end-to-end delivery of our modern data platform as a Technical Program/Product Manager, owning multi-team programs that design, build, and scale a secure, cost-efficient lakehouse architecture on AWS. You'll coordinate roadmaps across data engineering, platform, security, and product to land capabilities in Databricks (Delta Lake, Unity Catalog, Workflows/Jobs, Delta Live Tables) and event-driven data products (e.g., AWS EventBridge, Kafka/Kinesis), spanning real-time streaming and batch pipelines. Responsibilities include dependency and risk management, defining program metrics/SLAs, and creating program-level dashboards and decks.
Responsibilities

• Drive end-to-end delivery of data platform initiatives across engineering, platform, security, and product teams.
• Lead roadmaps, quarterly planning, and program execution for Databricks capabilities (Delta Lake, Unity Catalog, Jobs, DLT).
• Manage programs involving real-time streaming and batch data pipelines (Kafka/Kinesis/Event Bridge).
• Oversee migration from legacy ETL (Informatica or equivalent) to Lakehouse patterns.
• Define SLAs, KPIs, dashboards, and executive reporting for program health.
• Ensure cost optimization and FinOps discipline for cloud compute usage.
• Run Agile ceremonies, manage dependencies, and drive risk mitigation.
• Use GenAI tools (Cursor, , Vibe tools) for prototyping and documentation.

Required Skills

• 8+ years of TPM/Product Management experience with data platforms.
• Strong experience with Databricks (Delta Lake, Unity Catalog, DLT, Workflows).
• Hands-on knowledge of AWS (S3, IAM, Event Bridge, Kinesis).
• Experience delivering streaming + batch pipelines.
• Strong expertise in stakeholder communication, roadmaps, and exec reporting.
• Experience with Informatica or enterprise ETL ecosystems.

Preferred Skills

• FinOps/cost optimization for data compute.
• Enterprise internal platform experience.
• GenAI-driven product thinking.

Thanks & Regards

akhil