Snowflake+Cortex

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+Cortex Senior Associate you will design and develop data solutions within our Data and Analytics Engineering practice, focusing on data pipelines, data integration, and data transformation that turn raw data into actionable insights. As a Senior Associate you will analyze complex problems, build meaningful client connections, and manage assigned workstreams while guiding junior team members and adapting to changing client needs. In this role at PwC Acceleration Center Bangalore, you will use Snowflake and Cortex tools to support data infrastructure and systems, interpret data to inform insights and recommendations, and maintain professional and technical standards while contributing to client support work across data engineering engagements.

Responsibilities

- Designing and building Snowflake and Cortex data solutions that support client analytics and reporting needs
- Developing data pipelines, transformation logic, and integration workflows across cloud-based data environments
- Translating business requirements into data models, warehouse structures, and scalable engineering deliverables
- Interpreting complex data challenges and applying analytical thinking to improve data quality, validation, and troubleshooting
- Collaborating with client teams to gather requirements, clarify priorities, and adjust delivery plans as project needs change
- Applying Apache Airflow, Azure Data Factory, Databricks, and related tools to automate and orchestrate data processing
- Supporting data architecture decisions by evaluating performance tuning, query optimization, and database management approaches
- Reviewing technical deliverables from junior team members and providing guidance on engineering methods and work products
- Building meaningful client connections while communicating progress, risks, and technical tradeoffs in a clear manner
- Contributing to data modernization efforts by developing solutions that improve accessibility, reliability, and use of enterprise data

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 Snowflake and Cortex platform experience in data engineering
- Applying SQL, data modeling, and data pipeline development
- Using Azure Databricks, AWS, or Azure data tools
- Interpreting data for insights and recommendations
- Mentoring junior team members and managing assigned workstreams

Travel Requirements

Not Specified

Job Posting End Date