Azure Databricks - Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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 opportunity to do inspiring work that makes a difference—every day.

As an Azure Databricks - Manager you will lead data engineering workstreams that support cloud-based data modernization, translating business needs into scalable solutions within our Data and Analytics Engineering practice. As a Manager you will guide teams, coach junior staff, manage project timelines, and apply sound judgment while navigating complex client needs and multiple delivery priorities. In this role at PwC Acceleration Center India, you will help deliver Azure Databricks solutions across data engineering activities, collaborating across Cloud Engineering, Data & Analytics, and Data, Analytics & AI to support client-focused work and strengthen delivery across modern data platforms.

Responsibilities

- Leading Azure Databricks data engineering workstreams across data modernization initiatives
- Managing client delivery activities, timelines, and work priorities for cloud-based data platforms
- Guiding teams in building and optimizing data pipelines, data transformations, and data validation processes
- Developing and reviewing data architecture, data modeling, and warehouse design choices for scalable solutions
- Overseeing integration of Azure Data Factory, Apache Airflow, and Databricks workflows across data environments
- Applying performance tuning, query optimization, and database administration methods to improve platform reliability
- Coaching team members on data engineering practices, technical problem solving, and delivery execution
- Identifying opportunities to improve data quality, security, and governance across analytics platforms
- Supporting stakeholder discussions on Databricks and Azure design choices, implementation risks, and delivery tradeoffs

What You Must Have

- At least a Bachelor's degree
- At least 9+ 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 delivery across data modernization initiatives
- Managing data engineering workstreams using Agile and client-facing methods
- Applying Databricks, Azure Data Factory, and Snowflake platforms
- Leading teams through coaching, feedback, and performance management
- Translating data architecture concepts into business-focused recommendations

Travel Requirements

Not Specified

Job Posting End Date