Databricks+Right Angle+Oil&Gas - Senior Manager
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Oct 15, 2026. PwC UK scores A on the Alion truth index.
Industry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Senior ManagerJob 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 Senior Manager, you will lead data engineering work that designs and builds data pipelines, integration layers, and transformation solutions that convert raw information into usable business insights within our Data and Analytics Engineering practice. As a Senior Manager you will use strategic judgment, influence, and client-facing communication to guide large efforts, coach teams through complex problem solving, and bring structure to work across changing priorities. In this role at PwC Acceleration Center Bangalore, you will focus on delivering data solutions for oil and gas clients, shaping technical direction, and developing approaches that support efficient data processing, analysis, and decision-making.
Responsibilities
- Leading data engineering workstreams for Databricks-based modernization efforts across oil and gas client environments
- Designing and implementing data pipelines, integration patterns, and transformation logic across cloud data platforms
- Translating business and technical needs into data architecture choices that support scalable analytics use cases
- Guiding teams through complex delivery activities, prioritizing work, and resolving issues that affect project progress
- Applying Databricks, Azure Data Factory, Apache Airflow, and related tooling to build, monitor, and refine data solutions
- Validating data quality, lineage, and performance across data lake and data warehouse environments
- Advising clients on data strategy, platform design, and migration approaches for modern analytics ecosystems
- Coaching team members, reviewing deliverables, and driving clear communication across technical and client stakeholders
- Identifying opportunities to improve data modeling, query performance, and transformation efficiency
- Supporting delivery of secure and maintainable data infrastructure aligned with business and industry needs
What You Must Have
- At least a Bachelor's degree
- At least 13+ 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 experience within complex client programs
- Applying systems thinking to data architecture and transformation challenges
- Crafting clear messages that connect technical details and business outcomes
- Validating client feedback and adapting delivery across ambiguous situations
- Coaching diverse teams through complex data modernization efforts
Travel Requirements
Not SpecifiedJob Posting End Date