Hybrid​/Technical Program Manager Databricks​/ETL

Technical Program Manager with Databricks/ETL

Full time

Las Vegas, NV

15+ years overall with 8+ years in data engineering/analytics programs and 5+ years in leading cross‑functional teams.

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.

• 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, Dev Ops, QA, and security teams.

• 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.

• 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.
• 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).
• 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.
• Lead partner/vendor engagements, SOWs, and third‑party delivery alignment.
• Build and mentor high-performing teams (engineering managers, data engineers, analysts, QA).
• Lead hiring, capacity planning, performance management, and career development.
• Promote engineering excellence, documentation discipline, and a culture of continuous improvement.

• Own program budgets, resource plans, and cost controls (cloud/Databricks spend).
• Track and report financials: forecasts, burn rates, and variance analysis.
• Support proposals, estimations, and SOW renewals/extensions.

• Strong backlog management, prioritization, and stakeholder alignment.
• Proven delivery of multi‑workstream, multi‑vendor programs.
• 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 Dev Ops/Git Hub Actions/Jenkins).
• Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming).

• Azure (preferred), AWS, or GCP
  —including storage, compute, IAM, networking basics, and monitoring.

• Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability.

• Team leadership (15–40 members), mentorship, and conflict resolution.
• Clear, concise communication with senior business and technical audiences.
• Domain exposure:
  Media/Entertainment, Telecom, BFSI, or Retail/E‑commerce.

• Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).