Databricks + Agentic AI - Senior Associate

PwC; Bengaluru; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

PwC Acceleration Center Bangalore seeks a Senior Associate to design and develop Databricks-based data pipelines supporting client analytics. You’ll engage across advisory, assurance, tax, and business services, delivering scalable data solutions and mentoring junior engineers.

You will apply agentic AI concepts to automate data processing, interpretation, and workflow orchestration, contributing to evolving cloud analytics initiatives for diverse clients.

Qualifications

• Bachelor’s degree is required.
• Databricks platform experience in data engineering delivery.
• English proficiency in oral and written communication.
• Client-facing solution design experience is a plus.
• Mentoring junior team members is expected.

Responsibilities

• Design and build Databricks-based data pipelines and transformation workflows for analytics.
• Develop data integration, modeling, and validation routines across cloud data platforms.
• Apply agentic AI concepts to improve automation, data processing, and workflow orchestration.
• Translate business and technical requirements into scalable data solutions for projects.
• Troubleshoot data quality, performance, and query optimization in data lake/warehouse.
• Use Airflow, Azure Data Factory and related tools to manage pipelines and scheduling.
• Support data architecture decisions by evaluating platform capabilities and security considerations.
• Interpret data findings to inform client and internal recommendations.
• Mentor junior team members on data engineering approaches and delivery.

Skills

Databricks experience

Agentic AI concepts

Client engagement

Mentoring

Problem solving

English proficiency

Education

Bachelor's degree

Tools

Databricks

Airflow

Azure Data Factory

SQL

Data modeling

Data integration

Data validation

Job description

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

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 + Agentic AI - Senior Associate you will design and develop data solutions that support data processing, integration, and transformation for client needs within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while deepening your technical skills and business context. In this role at PwC Acceleration Center Bangalore, you will contribute to data pipelines and modern data infrastructure, use critical thinking to break down complex concepts, interpret data to inform recommendations, and support delivery across evolving cloud and analytics initiatives.

Responsibilities

• Designing and building Databricks-based data pipelines and transformation workflows that support client analytics and reporting needs
• Developing data integration, data modeling, and data validation routines across cloud data platforms
• Applying agentic AI concepts to improve automation, data processing, and workflow orchestration within engineering solutions
• Translating business and technical requirements into scalable data solutions that align with project objectives
• Troubleshooting data quality, performance, and query optimization issues across data lake and data warehouse environments
• Using Apache Airflow, Azure Data Factory, and related orchestration tools to manage scheduled data movement and pipeline execution
• Supporting data architecture decisions by evaluating platform capabilities, integration patterns, and security considerations
• Interpreting data and technical findings to inform recommendations for clients and internal teams
• Mentoring junior team members on data engineering methods, delivery practices, and technical problem solving
• Building client relationships by anticipating needs, responding to changing priorities, and contributing to delivery across workstreams

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 platform experience in data engineering delivery
• Applying Agentic AI concepts to client-facing solution design
• Interpreting complex data to shape insights and recommendations
• Anticipating client needs while navigating ambiguous project settings
• Mentoring junior team members through technical problem-solving

Travel Requirements

Not Specified

Job Posting End Date