Description

Key Responsibilities

• Design and implement scalable, secure, and high-performance Snowflake data architectures.
• Define data platform architecture, patterns, standards, and best practices.
• Lead the design of enterprise data warehouses, data lakes, and modern data platforms.
• Develop and optimize Snowflake databases, schemas, warehouses, and data pipelines.
• Partner with data engineering, analytics, and business teams to translate requirements into scalable solutions.
• Drive performance tuning, cost optimization, security, governance, and scalability across Snowflake environments.
• Evaluate and recommend technologies and architectural approaches for evolving data platform needs.
• Provide technical leadership and mentorship to data engineering teams.
• Troubleshoot complex data platform and Snowflake-related challenges.

Required Qualifications

• Strong experience in Snowflake architecture and data platforms.
• Hands-on experience designing and implementing modern cloud-based data solutions.
• Strong understanding of data warehousing concepts, dimensional modeling, ETL/ELT, and data integration.
• Experience with Snowflake performance optimization and best practices.
• Strong understanding of data security, governance, and access controls.
• Excellent problem-solving, communication, and stakeholder-management skills.
• Ability to operate at an L4/L5-level with strong technical ownership and architectural decision-making.

Preferred Qualifications

• Experience with major cloud platforms such as AWS, Azure, or GCP.
• Experience with data integration and orchestration tools.
• Knowledge of SQL and modern data engineering technologies.
• Experience with enterprise-scale data migration or modernization initiatives

Key Skills

Education

Bachelor's degree