Fabric Data Engineering 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 Fabric modernization work and cloud data platform delivery across client projects
- Plan engagement schedules, budgets and outputs across multiple client assignments
- Guide teams building pipelines, lakes and warehouses with Microsoft Fabric, Azure Data Factory, Databricks and Snowflake
- Review architecture, data modeling, integration and validation to support dependable analytics
- Coach junior engineers, resolve design problems and improve performance across pipelines and warehouses
What you bring
- At least a bachelor’s degree and eight years of professional experience
- You can speak and write in English for the role
- You have led Microsoft Fabric solution delivery, including architecture decisions and team management
Who this fits
This manager role suits someone who can lead client delivery, guide engineers and turn business needs into data platform designs. You’ll also handle stakeholder relationships and support proposals and solution demonstrations. The role is based in Bangalore, India.
From the employer
Industry/Sector
Not ApplicableSpecialism
Platform Engineering & ArchitectureManagement 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 Fabric Data Engineering Manager you will lead client support data engineering work focused on cloud engineering, data modernization, and platform architecture within our Cloud Engineering, Data & Analytics practice. As a Manager you will lead teams, mentor junior staff, and manage delivery across multiple workstreams while applying judgment to complex data problems, validating timelines, and maintaining alignment with client needs and firm methodology. In this role at PwC, you will guide the design, build, and support of data solutions, collaborate across technical teams, and help shape deliverables that support modernization efforts and dependable platform performance.
Responsibilities
- Leading data engineering workstreams focused on Fabric-based modernization programs and cloud data platform delivery
- Managing project plans, timelines, budgets, and deliverables across multiple client engagements
- Guiding teams in the design and build of data pipelines, data lakes, and data warehouses using Azure Data Factory, Databricks, and Snowflake
- Reviewing data architecture, modeling, integration, transformation, and validation activities to support reliable analytics outcomes
- Coaching junior team members on engineering methods, code review practices, and delivery coordination
- Translating business needs into scalable data solutions and resolving design issues across source systems and target platforms
- Overseeing performance tuning, query optimization, and troubleshooting across warehouse and pipeline environments
- Applying data quality, security, anonymization, and governance practices throughout solution delivery
- Identifying opportunities to improve automation, reuse, and modern data engineering approaches across client programs
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
- Leads delivery of Microsoft Fabric solutions, defines architecture, and manages teams and client relationships.
- Define data architecture and solution design using Microsoft Fabric
- Lead large-scale data transformation and migration projects
- Oversee development of enterprise-grade data platforms
- Ensure governance, security, and compliance frameworks
- Drive performance optimization and cost management
- Manage stakeholders and translate business needs into technical solutions
- Lead and mentor teams (Associates & Senior Associates)
- Support pre-sales, proposals, and solution demos
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 data engineering leadership across client delivery workstreams
- Managing Fabric, Databricks, and Snowflake modernization initiatives
- Coaching teams through Agile delivery and feedback cycles
- Applying AWS, Azure Data Factory, and Apache Airflow
- Translating data architecture needs into scalable pipeline designs
Travel Requirements
Not SpecifiedJob Posting End Date
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