Databricks+Right Angle+Oil&Gas - Manager

PwC Acceleration Center India; Bengaluru; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

PwC Acceleration Center India is seeking a Databricks+Right Angle+Oil&Gas Manager to lead data engineering workstreams, design data pipelines, and guide delivery across client projects in the data analytics space.

You will mentor teams, manage scope and timelines, and apply Databricks, Azure Data Factory, and Airflow within oil & gas contexts to drive insights and business growth.

Formación

• Bachelor's degree required
• 8+ years of experience required
• Fluent in English (oral and written) required

Responsabilidades

• Lead data engineering workstreams across Databricks, data lake, and data warehouse environments for client delivery
• Design and implement data pipelines and transformation routines to support analytics and reporting
• Manage project scope, timelines, budgeting, and deliverables while balancing client priorities
• Guide architecture decisions, data modeling, performance tuning, and query optimization
• Review pipeline logic, validation rules, and data quality controls for accurate downstream use
• Apply Azure Data Factory, Apache Airflow, and Databricks to build scalable data solutions
• Coach team members on technical execution and delivery methods
• Identify data architecture improvements and modernization opportunities for oil and gas environments

Conocimientos

Databricks

Data engineering

Team mentoring

Delivery management

Stakeholder communication

Educación

Bachelor's degree

Herramientas

Databricks

Azure Data Factory

Apache Airflow

Snowflake

Descripción del empleo

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