Azure Databricks + AI - 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 an Azure Databricks + AI Manager you will lead data engineering work that brings together cloud data platforms, analytics, and AI-enabled solutions within our Data & Analytics practice. As a Manager you will guide teams through planning, delivery, and review of client work, using sound judgment, mentoring junior colleagues, and helping drive clear priorities across multiple workstreams. In this role at PwC, you will contribute to data modernization efforts, work through complex data platform challenges, and help shape scalable solutions across Azure Databricks and AI use cases.

As a Manager you will coach team members, oversee deliverables, and support client service accounts while maintaining a practical focus on timelines, quality, and stakeholder communication. In this role at PwC, you will collaborate across Cloud Engineering, Data & Analytics and Data, Analytics & AI to translate technical needs into actionable work, identify opportunities for process improvement, and bring structure to delivery in a fast-moving environment.

Responsibilities

- Leading Azure Databricks data engineering workstreams for cloud-based analytics and AI initiatives
- Managing project plans, priorities, and deliverables across multiple client engagements and internal teams
- Designing and implementing data pipelines, data transformations, and data quality checks within Azure Databricks
- Developing data architecture, data models, and lakehouse solutions that support scalable analytics use cases
- Applying Azure Data Factory, Apache Airflow, and related orchestration tools to automate batch and streaming workflows
- Optimizing performance across data pipelines, query processing, and warehouse structures to improve processing efficiency
- Reviewing technical deliverables for accuracy, data integrity, and alignment with client requirements
- Coaching team members on data engineering methods, cloud tooling, and delivery approaches
- Identifying opportunities to apply AI fluency, digital tooling, and modern data modernization methods to client challenges
- Validating security, privacy, and data governance considerations across engineering solutions

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 Azure Databricks implementation across enterprise data platforms
- Utilizing Data Engineering, Data Integration, and Data Quality skills in delivery
- Managing client workstreams within Data Modernisation initiatives
- Coaching teams through analytics, AI, and cloud transformation efforts
- Applying agile delivery, analytical thinking, and strategic questioning
- Adapting to ambiguity while leading data modernization decisions

Travel Requirements

Not Specified

Job Posting End Date