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 & Gen AI (Banking Domain) Senior Associate you will focus on data engineering work that supports the design and build of data pipelines, integration layers, and transformation solutions for client needs. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while developing a deeper understanding of the business context within our Data and Analytics Engineering practice. In this role at PwC, you will apply Databricks and generative AI skills in a banking domain setting, contribute to data platform modernization, and help turn raw data into actionable insights that support decision-making and business growth.

Responsibilities

- Designing and building Databricks-based data pipelines to support banking data modernization and analytics use cases
- Developing data integration and transformation logic across cloud platforms, data lakes, and data warehouses
- Applying Apache Airflow, Azure Data Factory, and directed acyclic graphs to orchestrate, schedule, and monitor data workflows
- Building scalable data models and dimensional structures that support reporting, analysis, and AI-enabled solutions
- Tuning query performance, troubleshooting data issues, and improving data reliability across distributed environments
- Translating business requirements into technical designs for data engineering solutions in a banking context
- Interpreting complex data sets to identify patterns, risks, and opportunities for improved data processing
- Reviewing workstreams, guiding junior team members, and contributing to delivery quality across assigned tasks
- Collaborating with client stakeholders to align technical solutions with project objectives and changing business needs
- Applying Databricks, Snowflake, and cloud data engineering skills to modernize legacy data platforms

What You Must Have

- At least a Bachelor's degree
- At least 4 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 solution delivery within banking environments
- Utilizing GenAI tools for data engineering and analytics use cases
- Interpreting complex data patterns into clear client recommendations
- Building client connections while guiding junior team members
- Applying cloud data platform knowledge across modernization efforts
- Navigating ambiguity while managing assigned workstreams

Travel Requirements

Job Posting End Date