Azure, Databricks , Snowflake Engineering (Good to have) - Banking - Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job 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+Snowflake Engineering Manager, you will lead the charge in transforming data landscapes within our Data and Analytics Engineering practice. You will be at the forefront of client engagements, leveraging cutting-edge cloud technologies to drive data modernization initiatives. As a Manager, you will guide teams through strategic planning and execution, fostering a culture of mentorship and development. Your role will involve analyzing complex data challenges, implementing innovative solutions, and maintaining consistent quality standards across projects.

In this role at PwC Acceleration Center India, you will collaborate with diverse teams to deliver impactful data engineering solutions. You will play a pivotal role in managing client accounts, inspiring your team to achieve excellence, and embracing technology to enhance delivery. Your leadership will be crucial in identifying opportunities that align with our firm's values and contribute to its success. By articulating our purpose and values, you will motivate others to deliver quality work and encourage innovation.

Responsibilities

- Leading the design and implementation of scalable data engineering solutions using Azure, Databricks, and Snowflake platforms
- Managing data integration and transformation processes to support client data modernization initiatives
- Overseeing the development and optimization of data pipelines and workflows, confirming efficient data flow and processing
- Guiding teams in the application of data architecture development and database management systems
- Utilizing Apache Airflow and Directed Acyclic Graphs (DAGs) for orchestrating complex data workflows
- Implementing data quality and validation measures to maintain data integrity and reliability
- Collaborating with cross-functional teams to align data strategies with business objectives
- Coaching and mentoring junior staff to enhance their technical skills and professional growth
- Promoting the adoption of innovative data engineering practices and technologies within the team
- Analyzing and optimizing database performance and query execution for improved efficiency

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 proficiency in Azure Data Factory and Databricks
- Utilizing Snowflake Data Warehouse for advanced data solutions
- Managing data engineering projects with Agile methodologies
- Excelling in database optimization and performance tuning
- Leading teams in data architecture development and integration
- Embracing change and innovation in data modernization initiatives

Travel Requirements

Not Specified

Job Posting End Date