Data Engineers - Databricks - Senior Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 Data Engineers - Databricks - Senior Manager you will lead data engineering work focused on designing and building data pipelines, data integration, and data transformation solutions that help turn raw data into actionable insights and support client decision-making within our Data and Analytics Engineering practice. As a Senior Manager you will lead large projects, use sound judgment in complex situations, coach teams through ambiguity, and bring clear communication and strategic input that supports operational excellence. In this role at PwC, you will guide delivery across Databricks-based data solutions, bring structure to changing priorities, and help develop data infrastructure that supports business growth and practical analytics outcomes.

Responsibilities

• Leading data engineering workstreams for Databricks-based client solutions across data modernization initiatives
• Designing and building scalable data pipelines, integration patterns, and transformation logic to support analytics and reporting needs
• Developing cloud-based data architectures using Databricks, Azure Data Factory, Snowflake, and related platforms
• Applying data modeling, warehouse design, and performance tuning methods to improve data availability and query response times
• Coordinating technical delivery across teams and stakeholders to translate business requirements into data solutions
• Validating data quality, lineage, and transformation logic throughout the development lifecycle
• Guiding teams through complex implementation issues, tradeoffs, and dependencies across multiple workstreams
• Coaching team members on data engineering methods, delivery planning, and technical problem solving
• Presenting progress, risks, and solution options to client leaders in a clear and concise manner
• Supporting the development of reusable frameworks and delivery approaches that improve efficiency across engagements

What You Must Have

• At least a Bachelor's degree
• At least 12 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 platform experience across data engineering projects
• Applying cloud data platform knowledge with Azure, AWS, or Snowflake
• Leading client-facing data modernization work through complex delivery
• Crafting data pipelines, modeling, and transformation solutions
• Coaching teams through ambiguity while solving technical issues

Travel Requirements

Not Specified

Job Posting End Date