Snowflake+Databricks+AI+Oil&Gas - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India seeks a Snowflake Databricks AI Manager to lead data engineering workstreams, design data platforms, and coach teams. You will shape data integration and transformation solutions for oil and gas clients, guiding planning, delivery, and governance across complex engagements.

The role requires a Bachelor's degree and 9+ years of experience, with strong English communication. You will work within PwC's Data & Analytics Engineering practice and drive scalable solutions.

Qualifications

• Bachelor's degree required.
• 9+ years of experience in data engineering or related field.
• English proficiency required.

Responsibilities

• Leading Snowflake and Databricks data engineering workstreams.
• Managing planning, budgeting, and delivery for data platform initiatives.
• Developing data pipelines and transformation logic for analytics.
• Designing data architecture and warehouse patterns to support reporting.
• Applying AI tools to improve pipeline development and validation.
• Overseeing performance tuning and query optimization.
• Ensuring data quality, security controls, and governance.
• Coaching team members and reviewing deliverables.
• Identifying oil and gas data needs and translating to scalable solutions.
• Managing risks and cross-team dependencies.

Skills

Snowflake

Databricks

Data pipelines

AI concepts

Education

Bachelor's degree

Job description

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 Snowflake Databricks AI Manager you will design and build data infrastructure and data pipelines that turn raw information into practical insights for clients in oil and gas, within our Data and Analytics Engineering practice. As a Manager you will lead teams, coach junior professionals, manage project workstreams, and apply sound judgment while navigating complex delivery needs, client priorities, and evolving technology tools. In this role at PwC, you will shape data integration and transformation solutions, support planning and execution across multiple deliverables, and help develop a team culture centered on accountability, learning, and consistent delivery.

Responsibilities

• Leading Snowflake and Databricks data engineering workstreams across client engagements
• Managing planning, budgeting, execution, and delivery for data platform initiatives
• Developing data pipelines, integration flows, and transformation logic to move information from source systems into analytics environments
• Designing data architecture, modeling structures, and warehouse patterns that support reporting and machine learning use cases
• Applying AI tools and automation techniques to improve pipeline development, data validation, and operational efficiency
• Overseeing performance tuning, query optimization, and troubleshooting across Snowflake and Databricks environments
• Validating data quality, security controls, and governance practices throughout the full data lifecycle
• Coaching team members, reviewing deliverables, and using feedback sessions to strengthen technical skills
• Identifying client needs in oil and gas data modernization programs and translating them into scalable engineering solutions
• Addressing delivery risks, technical issues, and cross-team dependencies while maintaining alignment on scope and timelines

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 Snowflake and Databricks delivery across data modernization programs
• Leveraging AI concepts in oil and gas data engineering solutions
• Leading project planning, budgeting, and execution for client workstreams
• Mentoring junior team members through feedback and work reviews
• Applying data architecture, modeling, and integration skills in cloud environments
• Translating business needs into scalable data pipelines and analytics