Required Skills: Program Management
Enterprise-scale program ownership, governance, RAID management, executive communication.
Strong backlog management, prioritization, and stakeholder alignment.
Proven delivery of multi-workstream, multi-vendor programs. Databricks & Data Engineering
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 DevOps/GitHub Actions/Jenkins).
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. Data Governance & Quality · Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability. Leadership & Communication · Team leadership (15–40 members), mentorship, and conflict resolution. · 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.