Snowflake+Cortex - Senior Associate

Industry/Sector

Specialism

Management Level

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 focus on designing and building data pipelines, data integration, and data transformation solutions that turn raw data into actionable insights for clients. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and mentor junior team members while developing your technical skills and broadening your understanding of the business context within our Advisory practice. In this role at PwC, you will contribute to data and analytics engineering efforts that support cloud-based data platforms, help translate business needs into practical solutions, and use Snowflake and Cortex capabilities to deliver work that supports informed decision-making and business growth.

Responsibilities

- Designing and developing Snowflake-based data pipelines and transformation workflows for client data platforms

- Building data integration solutions that move and reshape data across cloud environments for reporting and analytics use

- Analyzing complex data engineering requirements and translating them into scalable pipeline and warehouse designs

- Collaborating with client teams to gather technical needs, clarify data sources, and align delivery plans with project objectives

- Monitoring data quality, validating pipeline logic, and troubleshooting performance issues across Snowflake and related tools

- Applying Databricks, Azure Data Factory, Apache Airflow, and SQL skills to support orchestration, ingestion, and transformation tasks

- Developing data models, schema structures, and warehouse patterns that support efficient access and downstream use

- Supporting cloud data modernization work by improving platform performance, integration flow, and data processing efficiency

- Documenting technical decisions, implementation steps, and handoff details for client stakeholders and delivery teams

- Guiding junior team members through technical tasks, reviewing assigned work, and sharing practical methods for data engineering delivery

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 implementation experience within data modernization programs

- Applying data engineering methods for cloud-based analytics and transformation

- Interpreting complex data sets to guide insights and recommendations

- Navigating client-facing workstreams while building meaningful relationships

- Supporting team members through mentoring, feedback, and reflective learning

Travel Requirements

Job Posting End Date