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About the Role

We 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.

Responsibilities

• 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.
• Lead design and implementation of Databricks-based data platforms (Azure Databricks / AWS Databricks / GCP).
• Ensure best practices in Delta Lake, Data pipelines (batch + streaming), and Medallion architecture (Bronze, Silver, Gold layers).
• Drive platform optimization including cost, performance, and scalability.
• Collaborate with architects to define data architecture standards and patterns.
• Oversee development of ETL/ELT pipelines, Data ingestion frameworks, and Data transformation and curation layers.
• Ensure integration with ecosystem tools like Azure Data Factory / Airflow and Power BI / Tableau and MLflow, Feature Store.
• 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.
• Define and track KPIs, SLAs, and program success metrics.
• Identify and mitigate risks, dependencies, and bottlenecks.
• Ensure adherence to Agile / Scrum / SAFe methodologies.
• Ensure compliance with Data governance policies and Security and privacy regulations.
• Implement best practices for Data lineage, Data quality, and Access controls.

Requirements

• 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, and Delta Lake architecture.
• Experience in cloud platforms: Azure (preferred), AWS, or GCP.
• Proven experience delivering enterprise data platform programs.
• Experience with Data Engineering concepts: Data modeling, ETL/ELT, pipelines, Real-time streaming (Kafka / Event Hub), CI/CD for data pipelines, and DataOps / MLOps frameworks.
• Strong experience in Agile / Scrum / SAFe frameworks, Program governance and reporting.
• Excellent stakeholder management skills, including C-level engagement.

Skills

• Databricks
• Apache Spark
• PySpark
• SQL
• Delta Lake
• Azure
• AWS
• GCP
• Data modeling
• ETL/ELT
• Data pipelines
• Real-time streaming
• Kafka
• Event Hub
• CI/CD
• DataOps
• MLOps
• Agile
• Scrum
• SAFe
• Program governance
• Stakeholder management

Experience Level

• 5+ years in program management