Azure Databricks+Guidewire - 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 projects using Azure Databricks and Guidewire to build data pipelines and integration and transformation solutions
- Plan budgets, delivery schedules and execution across several data modernization projects
- Guide teams building cloud data platforms, integration approaches and transformation pipelines
- Oversee Azure data lake, warehouse and ETL development, reviewing architecture, models, validation and performance
- Coach engineers and turn client needs into technical solutions that improve data quality and usability
What you bring
- You have a bachelor’s degree or higher
- You bring at least eight years of professional experience
- You can communicate in English both orally and in writing
Who this fits
This manager role suits someone who can lead data engineering delivery, coach teams and work with client stakeholders. You’ll balance project schedules, quality and client needs while exercising independent judgment. 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 an Azure Databricks+Guidewire Manager you will lead client support data engineering work centered on designing and building data pipelines, data integration, and data transformation solutions within our Data and Analytics Engineering practice. As a Manager you will lead teams, coach colleagues, manage performance, and apply independent judgment to complex work while balancing project timelines, quality, and client needs. In this role at PwC, you will guide workstreams that use Azure Databricks and Guidewire capabilities to turn raw data into usable insights, support delivery planning, and help advance data platforms that improve decision-making and business outcomes.
Responsibilities
- Leading Azure Databricks and Guidewire data engineering workstreams for client delivery
- Managing project planning, budgeting, timelines, and execution across multiple data modernization efforts
- Guiding teams in designing cloud data platforms, integration patterns, and transformation pipelines
- Supervising development of data lake, data warehouse, and ETL solutions across Azure environments
- Reviewing data architecture, modeling, validation, and performance tuning activities for accuracy and scalability
- Coaching team members on Databricks, Azure Data Factory, and data engineering delivery methods
- Collaborating with client stakeholders to translate business needs into technical data solutions
- Identifying opportunities to modernize legacy data environments and improve data quality and usability
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 Azure Databricks and Guidewire implementation experience
- Leading data modernization workstreams across cloud platforms
- Managing client delivery, timelines, and team coaching
- Applying data engineering, ETL, and data integration skills
- Translating business needs into scalable data solutions
Travel Requirements
Not SpecifiedJob Posting End Date
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