Snowflake+Databricks+AI+Oil&Gas - Manager
Pwc (Crm Experienced Careers Site) Open At a glance
Manager-level Data Engineering role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead Snowflake and Databricks engineering workstreams, from planning and budgets through delivery
- Build pipelines and transformation flows that move source data into analytics environments
- Design data models and warehouse patterns for reporting and machine learning needs
- Use AI and automation to improve pipeline development, data checks and operational efficiency
- Coach team members, review their work and resolve technical risks and delivery dependencies
What you bring
- A bachelor's degree and at least nine years of professional experience
- Strong spoken and written English
- Experience delivering Snowflake and Databricks work for data modernization programs
Who this fits
This manager role suits someone who can lead client workstreams while guiding junior engineers. You’ll focus on oil and gas data modernization and work with Snowflake, Databricks and AI concepts. The role is based in Bangalore, India.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
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 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 SpecifiedJob Posting End Date
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