Manager – Snowflake Data Engineer, Advisory

Overview

Manager-level Snowflake Data Engineer role in PwC's Advisory line of service, Data, Analytics & AI specialism, focused on building and optimizing cloud data pipelines and models.

What you'll do

• Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
• Design, develop, and optimize data pipelines and data models in Snowflake.
• Implement and maintain DBT workflows for data transformation and modeling.
• Write efficient and scalable SQL queries for data extraction and reporting.
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
• Integrate data from various sources using Python.
• Orchestrate workflows using Apache Airflow or similar tools.
• Ensure data quality, integrity, and governance across the pipeline.
• Work with CI/CD tools to automate deployment and testing of data workflows.
• Optimize performance and cost of Snowflake workloads.
• Leverage cloud services from AWS for scalable data solutions.

What you'll need

• Snowflake SnowPro Core certification.
• 5 – 8 years of experience.
• Bachelor of Engineering.
• Snowflake (primary skill).
• SQL (primary skill).
• Data Modelling (primary skill).
• Python (scripting, data manipulation) (primary skill).
• AWS – Glue, Lambda, Step Functions (primary skill).
• Agentic AI (required skill).

Nice to have

• Analytical mindset with strong problem-solving ability.
• Airflow (workflow orchestration) (secondary skill).
• CI/CD (Git, Jenkins, Azure DevOps, etc.) (secondary skill).
• PL/SQL, Teradata (for legacy support) (secondary skill).
• DBT (Data Build Tool) (secondary skill).

Details

• Location: Bengaluru Millenia.
• Management level: Manager.
• Job posting end date: September 22, 2026.
• Visa sponsorship: No.
• Government clearance required: No.