Databricks Architect +Genie - Manager

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 Databricks Architect +Genie you will design and develop data solutions that support data processing, integration, and transformation for client engagements within our Data and Analytics Engineering practice. As a Manager you will lead teams, coach junior professionals, manage workstreams, and apply business judgment to help deliver client-focused outcomes across complex data engineering efforts. In this role at PwC, you will guide Databricks architecture decisions, help shape scalable data platform solutions, and contribute to delivery that aligns with client needs, timelines, and PwC standards.

Responsibilities

- Leading Databricks architecture and data engineering workstreams for cloud-based data modernization initiatives
- Designing data platforms, pipelines, and transformation frameworks across Azure, AWS, and Snowflake environments
- Managing delivery plans, budgets, timelines, and scope across multiple client engagements
- Guiding teams through data modeling, integration, validation, and performance tuning activities
- Applying Databricks Unified Data Analytics Platform capabilities to build scalable analytics solutions and data products
- Reviewing technical designs and code to validate alignment with security, quality, and platform requirements
- Coaching team members on data architecture, pipeline development, and troubleshooting methods
- Identifying opportunities to improve data warehouse design, orchestration, and operational reliability
- Supporting client conversations on modernization priorities, technical tradeoffs, and implementation approaches

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 Databricks architecture experience across cloud modernization programs
- Leading data engineering teams through planning, budgeting, and delivery
- Applying Azure Databricks, Snowflake, or AWS in client-facing work
- Translating complex data platform concepts for technical stakeholders
- Mentoring team members in analytics, design, and delivery practices
- Utilizing Agile methods and AI-driven analytics in modernization work

Travel Requirements

Not Specified

Job Posting End Date