Azure+Databricks+ Snowflake Engineering - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India is seeking an Engineering Manager to lead data engineering initiatives across Azure, Databricks and Snowflake. You will mentor a diverse team, shape data modernization projects, and partner with global teams to deliver impactful client solutions.

You will guide design, implementation, and optimization of data pipelines, ensuring quality, security, and performance. Strong leadership and communication skills are essential in a fast-paced advisory environment.

Qualifications

• Bachelor's degree or higher.
• 8+ years of experience in data engineering or related field.
• Proficiency in English (spoken and written).

Responsibilities

• Lead data engineering solutions across Azure, Databricks and Snowflake.
• Oversee data integration, transformation, and modernization projects.
• Mentor and develop team members to achieve client outcomes.
• Collaborate with cross-functional teams to align data strategy with business goals.
• Ensure data security and quality across platforms.
• Drive adoption of best practices in data architecture and engineering.

Skills

Team leadership

Mentoring

Project management

Analytical thinking

Education

Bachelor's degree

Tools

Azure Data Factory

Databricks

Snowflake

Agile methodologies

Job description

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 group. You will be at the forefront of designing and implementing cutting-edge data solutions that empower businesses to make informed decisions. Within our Cloud Engineering, Data & Analytics network, you will collaborate with a diverse team to drive data modernization initiatives, leveraging your skills to deliver impactful results.

As a Manager, you will play a pivotal role in mentoring and developing your team, fostering a culture of innovation and excellence. You will guide your team through complex challenges, utilizing strategic planning and project management skills to deliver on client expectations. Your leadership will be instrumental in cultivating meaningful client relationships and navigating the complexities of data engineering projects. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

In this role at PwC Acceleration Center India, you will have the opportunity to work with a dynamic team, embracing technology and innovation to enhance your delivery. Your contributions will be vital in shaping the future of data engineering within our practice.

Responsibilities

• Leading the design and implementation of data engineering solutions using Azure, Databricks, and Snowflake platforms
• Managing data integration and transformation processes to support client data modernization initiatives
• Developing and optimizing data pipelines and workflows to enhance data quality and accessibility
• Overseeing the deployment and maintenance of data infrastructure, confirming scalability and performance
• Collaborating with cross-functional teams to align data strategies with business objectives
• Implementing data security best practices and validating data integrity across platforms
• Coaching and mentoring junior team members to foster professional growth and development
• Utilizing analytical thinking to solve complex data challenges and drive innovation in data engineering solutions

What You Must Have

• At least a Bachelor's degree
• At least 8 years of experienceOral 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