Job DescriptionTechnical Program Manager (TPM) - Databricks PlatformRole OverviewWe are seeking an experienced
Technical Program Manager (TPM) with strong expertise in
Databricks and modern data platforms to lead and drive large-scale data & AI transformation programs. This role will work at the intersection of
business, data engineering, and platform architecture, ensuring successful delivery of enterprise-grade data solutions on Databricks.
Key ResponsibilitiesProgram Leadership- Drive end-to-end execution of data platform programs built on Databricks (Lakehouse architecture).
- Manage multiple cross-functional teams including data engineering, data science, DevOps, and BI teams.
- Own program roadmap, delivery timelines, risk management, and stakeholder communication.
- Establish governance frameworks for program delivery, quality, and performance tracking.
Databricks Platform Ownership- Lead design and implementation of Databricks-based data platforms (Azure Databricks / AWS Databricks / GCP).
- Ensure best practices in:
- Delta Lake
- Data pipelines (batch + streaming)
- Medallion architecture (Bronze, Silver, Gold layers)
- Drive platform optimization including cost, performance, and scalability.
Technical Strategy & Execution- Collaborate with architects to define data architecture standards and patterns.
- Oversee development of:
- ETL/ELT pipelines
- Data ingestion frameworks
- Data transformation and curation layers
- Ensure integration with ecosystem tools like:
- Azure Data Factory / Airflow
- Power BI / Tableau
- MLflow, Feature Store
Stakeholder & Business Alignment- Act as a bridge between business leaders and engineering teams.
- Translate business requirements into technical execution plans.
- Provide leadership updates and executive reporting on program progress.
Delivery Excellence- Define and track KPIs, SLAs, and program success metrics.
- Identify and mitigate risks, dependencies, and bottlenecks.
- Ensure adherence to Agile / Scrum / SAFe methodologies.
Data Governance & Security- Ensure compliance with:
- Data governance policies
- Security and privacy regulations
- Implement best practices for:
- Data lineage
- Data quality
- Access controls
Skills & QualificationsMandatory Skills- 10+ years in technology roles, with 5+ years in program management.
- Strong hands-on or working knowledge of:
- Databricks (must-have)
- Apache Spark / PySpark / SQL
- Delta Lake architecture
- Experience in cloud platforms:
- Azure (preferred), AWS, or GCP
- Proven experience delivering enterprise data platform programs.
Technical Expertise- Data Engineering concepts:
- Data modeling, ETL/ELT, pipelines
- Real-time streaming (Kafka / Event Hub)
- CI/CD for data pipelines
- DataOps / MLOps frameworks
Program Management Skills- Strong experience in:
- Agile / Scrum / SAFe frameworks
- Program governance and reporting
- Excellent stakeholder management skills, including C-level engagement.
