PwC
Azure/AWS Databricks (Banking Knowledge) - Manager
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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 Azure/AWS Databricks Banking Knowledge Manager you will lead client support work in data engineering, helping shape cloud-based data modernization efforts within our Data & Analytics Engineering practice. As a Manager you will guide teams, coach junior professionals, and drive delivery across multiple workstreams while bringing together technical judgment, business understanding, and practical leadership in a role that sits within our Cloud Engineering, Data & Analytics network and supports go-to-market priorities in Data Modernisation. In this role at PwC, you will oversee Azure and AWS Databricks initiatives, bring banking industry knowledge to solution design and delivery, and contribute to work that focuses on data pipelines, analytics platforms, and modern cloud data environments.
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Responsibilities
- Leading Databricks data engineering workstreams across Azure and AWS environments for banking focused solutions
- Managing client delivery timelines, scope, and priorities while coordinating cross functional teams on data modernization efforts
- Designing and implementing data pipelines, lakehouse architectures, and transformation workflows using Azure Data Factory, Apache Airflow, and Databricks
- Developing data models, warehouse structures, and integration patterns that support analytics, reporting, and operational use cases
- Reviewing solution design choices for performance tuning, query optimization, data quality, and database security
- Mentoring team members on data engineering methods, cloud tooling, and delivery approaches for complex modernization programs
- Applying banking domain knowledge to shape data architecture decisions, regulatory data handling, and platform modernization strategies
- Identifying opportunities to improve data infrastructure, automation, scalability, and reusable engineering assets across engagements
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, AWS, or Azure data modernization delivery
- Leading data engineering teams across client-facing workstreams
- Applying banking data domain knowledge to solution design
- Utilizing data architecture, integration, and pipeline skills
- Coaching junior talent through feedback and review
- Adapting agile delivery methods across complex engagements
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.