Databricks Architect +Genie - 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 Databricks architecture workstreams for client data modernization projects
- Build cloud data pipelines, integrations and transformation layers for analytics
- Direct teams delivering data lake and warehouse solutions for reporting and analysis
- Manage project scope, schedules and deliverables across competing client needs
- Review architecture, modeling, security and performance choices, while coaching teams on delivery
What you bring
- A bachelor's degree or higher
- At least nine years of professional experience
- Strong spoken and written English
Who this fits
This manager role suits someone who can lead client delivery, guide teams and make architecture decisions across data modernization work. You’ll coach junior colleagues and manage workstreams. The role is based in Bangalore, India.
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 Architect +Genie you will design and build data platforms, pipelines, integrations, and transformation solutions that help clients turn raw data into actionable insights, within our Advisory practice and Data, Analytics & AI services. As a Manager you will lead teams, coach junior professionals, manage workstreams, and use sound judgment to review deliverables across multiple client needs while applying data engineering methods, cloud platform knowledge, and Databricks experience to support business outcomes. In this role at PwC, you will guide client delivery across data modernization efforts, coordinate timelines and priorities, and contribute to architecture decisions that support scalable data infrastructure and analytics capabilities.
Responsibilities
- Leading Databricks architecture workstreams for data modernization engagements
- Designing and building cloud-based data pipelines, integration flows, and transformation layers
- Guiding teams in developing data lake and data warehouse solutions that support analytics and reporting
- Managing project scope, timelines, and deliverables across multiple client priorities
- Applying Databricks, Azure Data Factory, Apache Airflow, and Snowflake in solution design and delivery
- Reviewing data architecture, modeling, security, and performance tuning approaches for scalable implementations
- Coaching team members on data engineering methods, delivery practices, and technical problem solving
- Identifying data quality, validation, and troubleshooting issues across complex data environments
- Translating business needs into data platform strategies and implementation plans
What You Must Have
- At least a Bachelor's degree
- At least 9+ 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 architecture delivery across data modernization programs
- Utilizing Genie, AI, and cloud platforms in client-facing solutions
- Leading project planning, budgeting, execution, and completion activities
- Mentoring teams through feedback, coaching, and performance conversations
- Translating complex data system interactions into delivery decisions
- Applying Agile delivery methods across analytics engineering workstreams
Travel Requirements
Not SpecifiedJob Posting End Date
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.