About the role
Technical Program Manager (TPM) – Databricks Platform
Role Overview 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. Key Responsibilities Program 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 & Qualifications Mandatory 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.
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About the role
Technical Program Manager (TPM) – Databricks Platform
Role Overview 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. Key Responsibilities Program 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 & Qualifications Mandatory 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.