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.
Key Responsibilities:
Program Leadership & Strategy Own end-to-end program strategy, roadmap, and execution for Databricks-centric data platform initiatives.
Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
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., Unity Catalog, row/column-level security).
Ensure compliance with data privacy and regulatory requirements (e.g., PII/GDPR as applicable).
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.
Proven delivery of multi-workstream, multi-vendor programs. 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; batch & streaming (e.g., Structured Streaming). Cloud (one or more) Azure (preferred), AWS, or Google Cloud Platform including storage, compute, IAM, networking basics, and monitoring. Data Governance & Quality Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability. Leadership & Communication Team leadership (15 40 members), mentorship, and conflict resolution. Clear, concise communication with senior business and technical audiences. --- Good-to-Have Certifications: PMP/Prince2, SAFe/CSM, Databricks Data Engineer Professional, Azure/AWS cloud certs. Tools: Terraform/Bicep, Datadog/CloudWatch/Log Analytics, Great Expectations, Monte Carlo, Collibra/Purview. Domain exposure: Media/Entertainment, Telecom, BFSI, or Retail/E-commerce.
