Senior Snowflake Developer

For our client we are looking for an experienced Senior Snowflake Developer to join Data Engineering team and take ownership of advanced data warehouse initiatives within a modern cloud environment. This role combines hands-on engineering work with architectural thinking and close collaboration across BI, Analytics, and Data Science teams.

You will play a key role in evolving and optimizing Snowflake-based data platforms, ensuring scalability, performance, security, and alignment with business-critical reporting and analytical solutions.

We are not looking for a regular developer. We are looking for someone who designs, builds and configures Snowflake environments end-to-end, and can act as a technical leader in complex enterprise projects.

Key Responsibilities

• Design and implement modern data platforms (Data Warehouse / Lakehouse)

• Architect and build scalable ETL/ELT frameworks

• Design and configure Snowflake environments (security, RBAC, performance tuning, cost optimization)

• Integrate Snowflake with Azure cloud services and on-prem infrastructure

• Lead Snowflake migration projects (including reverse engineering of existing solutions)

• Implement cross-account data sharing and multi-environment strategies

• Rebuild or modernize legacy data processing frameworks

• Build and optimize CI/CD processes for data platforms

• Ensure data structures support enterprise BI environments (e.g., Power BI)

• Provide technical leadership and mentor engineers

• Communicate architectural decisions to business and technical stakeholders

Requirements

• 5+ years of experience designing data platforms (DWH / Lakehouse)

• 5+ years of hands-on Snowflake experience

• Experience designing and configuring Snowflake environments (it will be a big plus)

• Proven experience working with public cloud environments, Azure, AWS, or GCP (Azure preferred)

• Experience leading Snowflake migration projects

• Strong SQL and Python skills

• Advanced knowledge of data modeling (Medallion, Kimball)

• Implementation of security and data access control mechanisms

• Basic understanding of MLOps concepts

• Experience working directly with enterprise clients

Nice to Have

• 2+ years of experience working with streaming data (e.g., Apache Kafka)

• Strong background in performance tuning and cost optimization in Snowflake

• Experience with Snowflake performance and cost optimization