Industry/Sector

Specialism

Management Level

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 + Healthcare - Senior Manager you will lead data engineering and analytics work that helps clients design and build cloud data platforms, data pipelines, and transformation solutions across Azure Data Services, Microsoft Fabric, Databricks, PySpark, SparkSQL, and SQL database environments. As a Senior Manager you will lead large projects, bring strategic direction to complex work, and coach teams through ambiguity while leveraging specialized skills, sound judgment, and clear communication to support client priorities within our Advisory practice. In this role at PwC, you will guide technical scoping, delivery planning, and architecture for large-scale cloud transformation efforts, translate business requirements into technical designs, and present solutions to stakeholders and leadership while supporting data modernization initiatives in healthcare and other industries at PwC Acceleration Center India.

Responsibilities

- Leading Databricks and Azure data modernization initiatives for healthcare clients
- Architecting and overseeing data pipelines, transformation logic, and analytics platforms using Azure Data Services, Microsoft Fabric, PySpark, and SparkSQL
- Designing cloud data repositories, lakehouse patterns, and integration approaches that support large-scale data processing and reporting
- Developing SQL database solutions, tuning performance, and improving data access for analytics and business intelligence
- Translating client requirements into technical designs, delivery plans, and implementation roadmaps
- Reviewing distributed data architectures and API-based integration patterns to address complex processing challenges
- Leading technical teams through project scoping, solution development, and deployment activities
- Presenting technical recommendations, delivery status, and solution options to business and executive stakeholders
- Applying data modeling, data architecture, and data quality practices across cloud-based programs
- Validating the use of DevOps tools, source control, and CI/CD workflows across data engineering delivery cycles

What You Must Have

- At least a Bachelor's degree
- At least 13+ 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, Azure Data Services, and Microsoft Fabric delivery
- Leading cloud analytics and enterprise data modernization programs
- Architecting PySpark, SparkSQL, and SQL pipelines
- Presenting technical roadmaps to executive leadership
- Guiding cross-functional teams through complex client transformations
- Applying healthcare data domain knowledge and client delivery skills

Travel Requirements

Job Posting End Date