Databricks Architect + Healthcare - 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 + Healthcare you will lead client support data engineering work within our Advisory practice, shaping how data solutions are designed, built, and delivered for healthcare clients. As a Manager you will lead teams, coach junior professionals, manage workstreams, and drive delivery across multiple priorities while using sound judgment and a clear focus on quality, timelines, and client needs. In this role at PwC, you will apply your data engineering skills to data pipelines, data integration, and data transformation solutions, while helping teams translate business needs into practical Databricks architecture and cloud-based data platform design.

Responsibilities

- Leading data engineering workstreams focused on Databricks-based data platform modernization for healthcare clients
- Designing cloud-based data infrastructure, integration patterns, and transformation pipelines across AWS, Azure, and Snowflake environments
- Managing project plans, timelines, budgets, and deliverables while balancing multiple client priorities
- Coaching team members on data architecture, pipeline development, data quality, and performance tuning approaches
- Reviewing technical outputs to validate design choices, identify risks, and refine implementation plans
- Developing scalable data models and orchestration solutions using tools such as Apache Airflow, Azure Data Factory, and Databricks
- Collaborating with client stakeholders to translate business needs into actionable data engineering solutions
- Applying knowledge of data security, anonymization, validation, and database optimization to support reliable data delivery

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 healthcare data modernization initiatives
- Bringing healthcare data platform delivery experience involving cloud, ETL, and analytics
- Leading technical teams through planning, budgeting, execution, and completion
- Mentoring team members while reviewing work and guiding development
- Applying systems thinking to complex data and platform interactions

Travel Requirements

Not Specified

Job Posting End Date