Senior Technical Program Manager with Data Engineering

Job Description

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:

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• Program Leadership & Strategy Own end-to-end program strategy, roadmap, and execution for Databricks-centric data platform initiatives.
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• Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
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• Orchestrate cross-functional delivery across data engineering, platform, DevOps, QA, and security teams. Delivery Management
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• Establish delivery governance (RAID, change control, dependencies, risk burndown) and ensure on-time, on-budget delivery.
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• Drive Agile at scale (Scrum/Kanban/SAFe), sprint health, throughput, and release management.
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• Define and enforce SLAs/SLOs for data pipelines, batch/streaming jobs, and analytics products.
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• Technical Program Ownership (Databricks/ETL)
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• Guide solution direction for Databricks (Apache Spark, Delta Lake, Unity Catalog), ETL/ELT flows, and data warehousing.
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• Oversee modernization/migration programs (onprem to cloud), cost optimization (cluster policies, job scheduling), and performance tuning.
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• Ensure robust CI/CD for data pipelines, IaC for platform components, and environment parity across Dev/Test/Prod. Data Architecture & Governance
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• Partner with architects on data models, lakehouse patterns, CDC, and medallion architecture.
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• Implement data quality, lineage, cataloging, and access controls (e.g., Unity Catalog, row/column-level security).
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• Ensure compliance with data privacy and regulatory requirements (e.g., PII/GDPR as applicable).
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• 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.
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Required Skills: Program Management

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• Enterprise-scale program ownership, governance, RAID management, executive communication.
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• Strong backlog management, prioritization, and stakeholder alignment.
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• Proven delivery of multi-workstream, multi-vendor programs. Databricks & Data Engineering
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• Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance.
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• ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informatica (any strong combo).
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• Strong SQL & practical Python for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins).
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• Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming). Cloud (one or more) · Azure (preferred), AWS, or GCP—including storage, compute, IAM, networking basics, and monitoring.
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• Data Governance & Quality · Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability. Leadership & Communication · Team leadership (15–40 members), mentorship, and conflict resolution.
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• 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.
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