Databricks + Agentic AI - Manager
Pwc (Crm Experienced Careers Site) Open At a glance
Manager-level Data Engineering role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead client data-engineering projects using Databricks and agentic AI, from planning through delivery
- Build data pipelines, integrations and transformation workflows for cloud data environments
- Guide architecture, modeling and platform upgrades across AWS, Azure and Snowflake
- Review technical work for data accuracy, validation, speed and security, while coaching team members
- Manage engagement budgets, timelines and issues as client priorities shift
What you bring
- A bachelor's degree or higher is required
- You bring at least eight years of professional experience
- You can communicate professionally in spoken and written English
Who this fits
This manager role suits someone who can lead client-facing data engineering work, guide teams and make delivery decisions. You’ll work with global teams and handle project planning, budgets, quality and client expectations.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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 Manager you will lead client-facing data engineering work focused on designing, building, and transforming data pipelines, integration patterns, and data platforms that turn raw information into usable insights within our Data and Analytics Engineering practice. As a Manager you will guide teams, coach junior professionals, and direct workstreams with accountable decision-making, strategic planning, and a focus on delivery, quality, and client expectations. In this role at PwC, you will use your knowledge of Databricks and agentic AI to shape modern data solutions, help solve complex engineering challenges, and contribute to data modernization efforts across cloud environments and analytics platforms.
Responsibilities
- Leading data engineering workstreams focused on Databricks-based platforms and agentic AI solutions for client needs
- Designing and building data pipelines, integration layers, and transformation workflows across cloud data environments
- Managing project planning, delivery timing, budgeting, and issue resolution for assigned engagements
- Guiding teams in data architecture, data modeling, and platform modernization activities across AWS, Azure, and Snowflake environments
- Reviewing technical deliverables for data quality, validation logic, performance tuning, and security controls
- Developing and mentoring team members while adapting work approaches to shifting client priorities and delivery demands
- Applying AI fluency and AI-human collaboration skills to support automation, analytics, and intelligent workflow use cases
- Identifying opportunities to improve data infrastructure, streamline processing, and advance modernization outcomes
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 platform delivery across cloud data modernization programs
- Applying agentic AI concepts in client-facing data engineering work
- Leading teams through planning, budgeting, execution, and delivery
- Mentoring junior professionals and reviewing work for quality
- Translating complex system interactions into practical delivery decisions
- Collaborating across stakeholders on timelines, issues, and deliverables
Travel Requirements
Not SpecifiedJob Posting End Date
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