Databricks+Right Angle+Oil&Gas - 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 a Databricks+Right Angle+Oil&Gas Manager you will lead data engineering work that designs, builds, and supports data pipelines, integration flows, and transformation solutions for client needs within our Data and Analytics Engineering practice. As a Manager you will motivate and coach team members, manage delivery across workstreams, and apply judgment to navigate complex issues while keeping quality, timelines, and client priorities in view. In this role at PwC, you will help shape data infrastructure that turns raw data into usable insights, using Databricks and oil and gas domain context to support informed decision-making and business growth.

Responsibilities

- Leading data engineering workstreams across Databricks, data lake, and data warehouse environments for client delivery
- Designing and implementing data pipelines, data integration flows, and transformation routines that support analytics and reporting needs
- Managing project scope, timelines, budgeting, and deliverables while balancing multiple client priorities
- Guiding teams through architecture decisions, data modeling, performance tuning, and query optimization
- Reviewing pipeline logic, validation rules, and data quality controls to support accurate downstream use
- Applying Azure Data Factory, Apache Airflow, and Databricks Unified Data Analytics Platform to build scalable data solutions
- Coaching team members on technical execution, problem solving, and delivery methods that improve productivity
- Identifying data architecture improvements, automation opportunities, and modernization approaches for oil and gas client environments

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 delivery experience across data modernization programs
- Managing client-facing data engineering workstreams and delivery timelines
- Coaching teams through planning, execution, and issue resolution
- Applying Azure, AWS, or Snowflake in analytics solutions
- Translating system interactions into actionable technical direction
- Communicating with stakeholders across technical and business groups

Travel Requirements

Not Specified

Job Posting End Date