Industry/Sector
Not Applicable
Specialism
Product Innovation
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/AWS Architect-Banking - Manager, you will lead the design and implementation of cloud-based solutions within our Data and Analytics Engineering group. Your role will involve collaborating with clients to understand their needs and architecting solutions that leverage the latest in cloud technology to drive business value. Within our Cloud Engineering, Data & Analytics network, you will be at the forefront of data modernization efforts, helping clients transition to more efficient and scalable cloud infrastructures.
As a Manager, you will guide and develop teams, manage client accounts, and oversee project execution. You will be responsible for strategic planning and mentoring junior staff, confirming that projects are delivered on time and meet client expectations. Your leadership will be crucial in fostering a culture of innovation and continuous improvement, while upholding the firm's standards and values. You will also play a key role in identifying opportunities for growth and development within the firm.
In this role at PwC Acceleration Center India, you will have the opportunity to work on cutting-edge projects that push the boundaries of what is possible in cloud technology, all while developing your leadership skills and contributing to the success of our clients and the firm.
Responsibilities
- Leading the design and implementation of scalable data architectures using Azure and AWS platforms
- Managing data engineering projects to support client data modernization initiatives
- Developing and optimizing data pipelines and workflows using Apache Airflow and Azure Data Factory
- Overseeing the integration and transformation of data from various sources into data lakes and warehouses
- Implementing database management and optimization strategies to enhance performance and security
- Guiding teams in the application of data anonymization and validation techniques to maintain data quality
- Collaborating with cross-functional teams to drive innovation in data engineering solutions
- Coaching and mentoring junior staff to develop their technical skills and project management capabilities
- Utilizing analytical thinking to solve complex data challenges and improve client outcomes
- Promoting the adoption of cloud-based analytics platforms like Databricks and Snowflake for enhanced insights generation
What You Must Have
- At least a Bachelor's degree
- At least 4 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 Amazon Web Services (AWS) and Microsoft Azure
- Utilizing data engineering platforms like Apache Hadoop and Databricks
- Developing data architecture and data integration strategies
- Excelling in data warehouse troubleshooting and optimization
- Leading teams in agile scalability and data transformation projects
- Embracing change and fostering innovation in data modernization initiatives
Travel Requirements
Not Specified
Job Posting End Date
