Senior Technical Program Manager with Data Engineering

We are seeking a senior Technical Program Manager to lead complex, multi-workstream data platform initiatives using Databricks and modern ETL/ELT patterns. The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization efforts—managing roadmaps, budgets, risks, and stakeholder communication while enabling high-performing teams to deliver business value at scale. Program Leadership & Strategy Own end-to-end program strategy, roadmap, and execution for Databricks-centric data platform initiatives. Orchestrate cross-functional delivery across data engineering, platform, DevOps, QA, and security teams. Delivery Management Establish delivery governance (RAID, change control, dependencies, risk burndown) and ensure on-time, on-budget delivery. Drive Agile at scale (Scrum/Kanban/SAFe), sprint health, throughput, and release management. Define and enforce SLAs/SLOs for data pipelines, batch/streaming jobs, and analytics products. Technical Program Ownership (Databricks/ETL) Guide solution direction for Databricks (Apache Spark, Delta Lake, Unity Catalog), ETL/ELT flows, and data warehousing. Oversee modernization/migration programs (onprem to cloud), cost optimization (cluster policies, job scheduling), and performance tuning. Ensure robust CI/CD for data pipelines, IaC for platform components, and environment parity across Dev/Test/Prod. Data Architecture & Governance Partner with architects on data models, lakehouse patterns, CDC, and medallion architecture. Implement data quality, lineage, cataloging, and access controls (e.g., Ensure compliance with data privacy and regulatory requirements (e.g., Stakeholder & Customer Management · Engage senior business stakeholders, product owners, and client leadership; manage expectations and executive reporting. Convert ambiguous requirements into clear program epics with acceptance criteria and success measures.

Required Skills: Program Management Enterprise-scale program ownership, governance, RAID management, executive communication. Strong backlog management, prioritization, and stakeholder alignment. Databricks & Data Engineering Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance. ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informatica (any strong combo). Strong SQL & practical Python for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins). Data warehousing/lakehouse patterns; Structured Streaming). Cloud (one or more) · Azure (preferred), AWS, or GCP—including storage, compute, IAM, networking basics, and monitoring. Data Governance & Quality · Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability. Good-to-Have · Certifications: PMP/Prince2, SAFe/CSM, Databricks Data Engineer Professional, Azure/AWS cloud certs. · Media/Entertainment, Telecom, BFSI, or Retail/E-commerce.