Job Description

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.

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