Lead Snowflake Engineer

We are looking for a Snowflake Architect to design, implement, and optimize scalable data solutions using Snowflake’s cloud data platform. This role involves working closely with data engineers, analysts, and business stakeholders to build high-performance data architectures that support analytics, reporting, and advanced data use cases.

Key Responsibilities

• Design and implement end-to-end data architecture using Snowflake
• Develop and optimize data models (star schema, snowflake schema, etc.)
• Lead data migration projects from legacy systems to Snowflake
• Build and maintain ETL/ELT pipelines using tools like Informatica, Talend, or dbt
• Optimize Snowflake performance (query tuning, clustering, partitioning)
• Implement data governance, security, and access control strategies
• Integrate Snowflake with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Ensure data quality, reliability, and scalability
• Collaborate with stakeholders to translate business requirements into technical solutions
• Provide technical leadership and mentor data engineering teams

• Strong experience with Snowflake architecture and implementation
• Expertise in SQL and data warehousing concepts
• Hands-on experience with ETL/ELT tools and frameworks
• Experience with cloud ecosystems (AWS, Azure, or GCP)
• Knowledge of data modeling techniques (dimensional modeling, normalization)
• Familiarity with scripting languages like Python or Java
• Understanding of data security and compliance best practices
• Experience with CI/CD and DevOps practices in data environments