Data Engineers - Databricks - Manager

Industry/Sector

Specialism

Management Level

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 a Data Engineers - Databricks - Manager you will lead data engineering work that designs and builds data pipelines, data integration, and data transformation solutions within our Data and Analytics Engineering practice. As a Manager you will motivate, develop, and coach team members, manage performance against client expectations, and bring a practical understanding of business priorities to complex delivery work. In this role at PwC, you will guide teams developing data infrastructure and systems that help convert raw data into insights for decision-making and business growth.

As a Manager you will take ownership of planning, budgeting, execution, and completion of assigned workstreams while helping colleagues build their technical skills and deliver consistent outcomes. You will apply technology and innovation to improve delivery, address issues with clients and internal stakeholders, and validate that work aligns with professional and technical standards. In this role at PwC, you will also help shape delivery across data engineering efforts, drawing on Databricks experience to support scalable solutions and dependable execution.

Responsibilities

- Leading Databricks data engineering workstreams across client delivery teams

- Designing and building data pipelines, integration flows, and transformation logic for cloud-based platforms

- Guiding data architecture decisions for data lake and data warehouse environments

- Managing project planning, scheduling, budgeting, and delivery milestones for assigned engagements

- Reviewing technical design, code, and pipeline logic to validate performance, reliability, and maintainability

- Applying Apache Airflow, Azure Data Factory, and Databricks Unified Data Analytics Platform to automate data movement and processing

- Developing scalable data models, dimensional structures, and validation routines for analytics use cases

- Coaching team members on data engineering methods, delivery approaches, and problem-solving techniques

- Identifying risks, dependencies, and delivery issues, then escalating blockers when needed

- Collaborating with client stakeholders to translate business needs into data solutions and actionable implementation plans

What You Must Have

- At least a Bachelor's degree

- At least 8 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 Databricks data engineering delivery across client engagements

- Leading teams through planning, budgeting, and execution cycles

- Mentoring junior staff through review and coaching activities

- Applying analytics to identify system linkages and interactions

- Navigating client issues through clear, timely communication

Travel Requirements

Job Posting End Date