Industry/Sector
Not Applicable
Specialism
Product Innovation
Management Level
Manager
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your prospect to do inspiring work that makes a difference—every day.
As a Data Engineering- Azure Databricks- Manager you will lead data engineering work focused on Azure Databricks solutions, data modernization, and cloud-based data pipelines within our Cloud Engineering, Data & Analytics practice. As a Manager you will guide teams, coach junior professionals, and oversee delivery across multiple workstreams while using sound judgment to manage priorities, review deliverables, and navigate changing client needs.
In this role at PwC, you will help shape data architecture, support client-facing delivery, and translate business needs into scalable data solutions that advance modernization efforts.
Responsibilities
- Leading Azure Databricks data engineering workstreams across client delivery and internal modernization initiatives
- Managing project plans, timelines, and deliverables while coordinating resources across multiple data transformation efforts
- Developing scalable data pipelines, integration patterns, and data warehouse solutions for cloud-based analytics environments
- Reviewing data architecture, modeling approaches, and performance tuning methods to improve reliability and query speed
- Applying Azure Data Factory, Apache Airflow, and Databricks Unified Data Analytics Platform capabilities to build and automate data movement processes
- Guiding teams in data quality, validation, and troubleshoo