Databricks & Gen AI(Banking Domain) - Manager

PwC Acceleration Center India; Andhra Pradesh; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

PwC Acceleration Center India is seeking a Databricks & Gen AI Banking Domain Manager to lead data engineering for banking clients. You will guide delivery across planning, budgeting, and execution while leveraging Databricks, Azure Data Factory, Snowflake, and AWS to build scalable data platforms.

You will coach teams, ensure data quality and governance, and align analytics with business needs in a fast-paced, globally connected environment.

Qualifications

• Bachelor's degree required.
• 8+ years of experience in data engineering or related field.
• Strong written and oral English communication.

Responsibilities

• Lead data engineering workstreams focused on Databricks and Gen AI for banking clients.
• Oversee planning, budgeting, delivery schedules and scope of cloud data modernization.
• Direct design and development of data pipelines, data integration, and data transformation solutions.
• Coach team members on technical problem solving and performance optimization.
• Apply AI fluency to shape practical Gen AI use cases and delivery plans.

Skills

Databricks

Gen AI

Data engineering

Cloud data platforms

English proficiency

Education

Bachelor's degree

Tools

Azure Data Factory

Snowflake

AWS

Databricks

Job description

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 Manager you will lead data engineering workstreams that design and build data pipelines, data integration, and data transformation solutions for banking clients within our Advisory practice. As a Manager you will motivate and coach team members, manage performance, and guide delivery across planning, budgeting, execution, and completion while applying judgment, technology, and a clear understanding of business needs. In this role at PwC Acceleration Center India, you will help shape client-facing data solutions that turn raw data into usable insights, with a focus on Databricks and generative AI in a banking context.

Responsibilities

• Leading data engineering workstreams focused on Databricks and generative AI solutions for banking clients
• Managing project planning, budgeting, delivery schedules, and scope across cloud data modernization initiatives
• Directing teams in the design and development of data pipelines, data integration, and data transformation solutions
• Guiding the build of cloud-native data platforms using Databricks, Azure Data Factory, Snowflake, and AWS tools
• Reviewing data architecture, modeling, and validation approaches to support scalable analytics and reliable data delivery
• Coaching team members on technical problem solving, performance tuning, and data engineering methods
• Applying AI fluency and AI-human collaboration methods to shape practical generative AI use cases and delivery plans
• Monitoring data quality, security, and governance practices across platform development and migration activities
• Identifying opportunities to modernize legacy banking data environments and improve processing efficiency
• Addressing delivery issues, client concerns, and team conflicts with clear escalation and action plans

What You Must Have

• At least a Bachelor's degree
• At least 8 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 and Gen AI delivery in banking environments
• Leading data modernization workstreams with client-facing project ownership
• Coaching teams through cloud data engineering and analytics delivery
• Applying Azure, AWS, or Snowflake platform experience
• Translating business needs into data architecture and pipeline solutions