Snowflake+Data Conversion+Data Quality - Manager

PwC; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

PwC India’s Acceleration Center in Bengaluru seeks a Manager to lead Snowflake data conversion, data quality, and integration across client delivery efforts. You will guide planning, execution, and validation of data pipelines and conversions, shaping data modernization for diverse industries.

The role requires 9+ years of experience, a Bachelor's degree, and strong English communication. You will mentor a team, collaborate with cross‑functional groups in Advisory, Assurance, Tax and Business

Qualifications

• Bachelor’s degree required.
• 9+ years of relevant experience.
• English fluency required.
• Experience in data integration and data transformation.

Responsibilities

• Lead Snowflake data conversion workstreams across client environments.
• Manage data quality initiatives, validation routines, and reconciliation processes for converted data assets.
• Oversee data pipeline design, transformation logic, and integration activities within modern data platforms.
• Guide teams in planning, sequencing, and delivery of data engineering tasks across multiple client needs.
• Review source-to-target mappings, conversion rules, and exception handling for accuracy.
• Apply Snowflake, Databricks, Azure Data Factory, and Airflow to support data movement and orchestration.
• Coordinate data model updates, warehouse structures, and performance tuning for analytical workloads.
• Mentor team members on data engineering methods, delivery timelines, and issue resolution approaches.
• Validate technical deliverables against client requirements and data governance expectations.

Skills

English proficiency

Leadership

Data engineering fundamentals

Education

Bachelor’s degree

Tools

Snowflake

Databricks

Azure Data Factory

Airflow

Job description

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 a Snowflake Data Conversion Data Quality Manager you will lead data engineering work focused on Snowflake conversion, data quality, data integration, and transformation across client delivery efforts. As a Manager you will motivate and develop team members, guide workstreams, manage performance, and use sound judgment to address complex issues while advancing client service goals within our Data and Analytics practice. In this role at PwC, you will oversee planning and execution for data pipelines, conversion activities, and validation activities, while helping shape delivery approaches that support data modernization and actionable insight generation.

Responsibilities

• Leading Snowflake data conversion workstreams across cloud‑based data environments
• Managing data quality initiatives, validation routines, and reconciliation processes for converted data assets
• Overseeing data pipeline design, transformation logic, and integration activities within modern data platforms
• Guiding teams in planning, sequencing, and delivery of data engineering tasks across multiple client needs
• Reviewing source‑to‑target mappings, conversion rules, and exception handling for accuracy and completeness
• Applying Snowflake, Databricks, Azure Data Factory, and Airflow to support scalable data movement and orchestration
• Coordinating data model updates, warehouse structures, and performance tuning efforts for analytical workloads
• Mentoring team members on data engineering methods, delivery timelines, and issue resolution approaches
• Validating technical deliverables against client requirements, data governance expectations, and technical standards
• Identifying risks, dependencies, and process improvements that strengthen data conversion outcomes

What You Must Have

• At least a Bachelor’s degree
• At least 9+ 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 Snowflake data conversion experience across complex client environments
• Utilizing data quality validation methods for large‑scale transformation work
• Leading data modernization workstreams through planning, budgeting, and execution
• Mentoring team members while reviewing deliverables and timeline progress
• Applying cloud data engineering skills with AWS, Azure, or GCP

Travel Requirements

Not Specified

Job Posting End Date