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pwc

Snowflake+Databricks+AI+Oil&Gas - Manager

Bengaluru · Staff/Principal

Recently posted - highest visibilityVerified listingPosted 2d ago

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Skills required

12 listed
Oil And GasManagement Information SystemsMachine LearningQuery OptimizationInformation SciencesChemical EngineeringIndustrial EngineeringMathematical Statistics+4 more
Oil And GasManagement Information SystemsMachine LearningQuery OptimizationInformation Sciences

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Job description

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 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

Travel Requirements

Not Specified

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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