Industry/Sector
Not Applicable
Specialism
Product Innovation
Management Level
Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable productive data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Job Title:
- Manager – Data Engineering (Azure & Databricks)
- At PwC AC, as a Manager in Data Engineering, you will play a pivotal role in leading the design, architecture, and end-to-end implementation of enterprise-grade cloud data solutions. You will lead cross-functional teams to deliver scalable Azure-based data ecosystems, bridging the gap between business strategy and technical execution.
Beyond hands-on technical guidance, you will be responsible for defining architectural roadmaps, ensuring delivery excellence, managing stakeholder expectations, and driving innovation within our cloud data practice.
- This role requires a blend of deep technical expertise in the Azure Databricks stack and strong leadership capabilities to manage complex, multi-stream data migration and engineering programs.
Years of Experience
8–13 years
Position Requirements:
Must Have:
Technical Leadership:
Extensive experience leading teams in the design and delivery of Azure-based data platforms utilizing ADLS, Databricks, Data Factory, and Synapse.
Architectural Expertise:
Demonstrated ability to design robust, scalable, and secure data architectures. You should be capable of defining technical standards and best practices for data modeling and data management.
Cloud Proficiency:
Advanced understanding