Data Engineering- Azure Databricks- Manager
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026.
Industry/Sector
Not ApplicableSpecialism
Product InnovationManagement Level
ManagerJob Description & Summary
The OpportunityJoin 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 opportunity 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 troubleshooting activities across complex data platforms
- Coaching junior team members through feedback, technical review, and day-to-day problem solving
- Identifying opportunities to simplify data infrastructure, strengthen security controls, and support data modernization goals
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating Azure Databricks data engineering delivery across client engagements
- Utilizing Databricks, Azure Data Factory, and Apache Airflow for pipelines
- Leading teams through data architecture, modeling, and transformation decisions
- Coaching junior staff while managing quality, timelines, and deliverables
- Applying analytical thinking to data quality, validation, and performance tuning
Travel Requirements
Not SpecifiedJob Posting End Date