Assistant Vice President Snowflake Data Engineering (Noida)

EXL; Dadri; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

EXL is seeking an experienced Assistant Vice President Snowflake Data Engineering to lead enterprise-scale data platforms and Snowflake modernization initiatives. The role blends hands-on Snowflake and data engineering expertise with enterprise architecture, people leadership, program ownership, stakeholder management, and business acumen.

You will drive architecture, implementation, and governance across ingestion, transformation, and data products while mentoring teams and aligning with

Qualifications

• Experience with Snowflake and modern cloud data platforms.
• Strong SQL and data transformation capabilities.
• Proficiency in Python and data engineering tooling.
• Enterprise architecture and people leadership experience.

Responsibilities

• Lead architecture, development, and modernization of enterprise-scale Snowflake data platforms.
• Define Snowflake data architecture, standards, and best practices.
• Direct teams handling ingestion, ETL/ELT, transformation, modeling, and data products.
• Design scalable Snowflake solutions for high-volume workloads.
• Drive migration of legacy warehouses to Snowflake and optimize costs.
• Own delivery across multiple projects, including scope, timelines, risks, and resources.
• Mentor and grow high-performing data engineering teams.
• Collaborate with senior stakeholders to translate business needs into data solutions.
• Drive performance optimization and governance across data platforms.
• Foster data quality, security, lineage, monitoring, and operational excellence.

Skills

Snowflake data engineering

SQL

Data transformation

Cloud data platforms

People leadership

Tools

Python

Job description

Role Overview

EXL is looking for an experienced Assistant Vice President Snowflake Data Engineering to lead enterprise-scale data engineering and Snowflake modernization initiatives.

The ideal candidate will combine strong Snowflake and data engineering expertise with enterprise architecture, people leadership, program ownership, stakeholder management, and business acumen.

Key Responsibilities

• Lead the architecture, development, modernization, and optimization of enterprise-scale data platforms built on Snowflake.
• Define Snowflake data architecture, engineering standards, development frameworks, and best practices.
• Lead teams responsible for data ingestion, ETL/ELT, data transformation, data modelling, data integration, and data products.
• Design scalable Snowflake solutions for high-volume, complex, and business-critical workloads.
• Drive migration and modernization of legacy data warehouses and platforms to Snowflake.
• Own delivery across multiple projects/programs, including scope, timelines, quality, SLAs, risks, and resource planning.
• Build, mentor, and manage high-performing data engineering teams.
• Partner with senior business and technology stakeholders to translate business requirements into scalable data solutions.
• Drive Snowflake performance optimization, workload management, scalability, and cost optimization.
• Establish strong practices around data quality, governance, security, lineage, monitoring, and operational excellence.
• Drive automation across data engineering development, testing, deployment, monitoring, and support.
• Evaluate and implement Snowflake capabilities and emerging data technologies to improve platform capabilities.
• Contribute to solutioning, proposals, client presentations, and business development initiatives where required.

Required Technical Skills

• Strong hands-on experience with Snowflake and modern cloud data platforms.
• Strong proficiency in SQL and data transformation.
• Solid experience with Pyt .