Azure Databricks Senior Manager - Banking

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 a Snowflake, Azure/AWS Architect - Senior Manager, you will lead the design and implementation of advanced data solutions within our Data and Analytics Engineering group. This role involves working closely with clients to transform their data landscapes using cutting-edge cloud technologies. Within our Data Modernisation practice, you will leverage your skills to drive impactful data strategies and solutions that align with client needs.

As a Senior Manager, you will guide large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level. You will apply your skills to deliver quality results and provide strategic input into the firm's business strategies. Your role will involve motivating and coaching teams to solve complex problems, fostering a culture of continuous improvement and innovation.

In this role at PwC Acceleration Center India, you will have the opportunity to work within the Cloud Engineering, Data & Analytics network, focusing on data modernization initiatives. You will be instrumental in crafting and conveying clear, impactful messages that tell a holistic story, while developing high-performing, diverse, and inclusive teams. Your commitment to excellence will contribute to the overall success of our firm.

Responsibilities

- Leading the design and implementation of scalable data architectures using Snowflake and Azure/AWS platforms
- Developing and optimizing data pipelines and workflows with Apache Airflow and Azure Data Factory
- Managing data integration and transformation processes to support data modernization initiatives
- Overseeing the deployment and maintenance of data warehouses, confirming data quality and security
- Collaborating with cross-functional teams to align data strategies with business objectives
- Utilizing advanced data modeling techniques to enhance data infrastructure and analytics capabilities
- Implementing database optimization and performance tuning strategies for efficient data retrieval
- Coaching and mentoring teams to foster a culture of continuous learning and innovation in data engineering
- Validating data solutions to meet client requirements and industry standards
- Engaging with stakeholders to provide strategic insights and drive data-driven decision-making

What You Must Have

- At least a Bachelor's degree
- At least 12 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 Snowflake Data Warehouse and Azure/AWS platforms
- Utilizing advanced data engineering skills with Apache Hadoop and Apache Airflow
- Leading data modernization projects with a focus on cloud solutions
- Applying strategic thinking in data architecture development and optimization
- Excelling in coaching and feedback to develop high-performing teams
- Navigating complex data environments with analytical thinking and problem-solving skills

Travel Requirements

Not Specified

Job Posting End Date