Manager - Snowflake Data Engineering

What you'll be doing

• Design and implement robust Snowflake data warehouse architectures and ETL pipelines to support business intelligence and advanced analytics use cases.
• Lead and mentor a team of data engineers, ensuring high-quality and timely delivery of projects.
• Collaborate closely with data analysts, data scientists, and business stakeholders to understand data needs and design effective data models.
• Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance optimization, and ETL processes.
• Own the optimization of Snowflake environments to ensure low-latency and high-availability data access.
• Drive process improvements, evaluate emerging tools, and continuously enhance our data engineering infrastructure.
• Ensure data pipelines are built with high levels of accuracy, completeness, and security, in compliance with data privacy regulations (GDPR, CCPA, etc.).
• Partner with cloud engineering and DevOps teams to integrate data solutions seamlessly within the AWS ecosystem.
• Participate in capacity planning, budgeting, and resource allocation for the data engineering function.

What do we need from you

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 9+ years of overall experience in cloud-based data engineering, with at least 4 years of hands-on experience in Snowflake.
• Proven track record in designing, deploying, and managing Snowflake data platforms at scale.
• Expertise in AWS services such as S3, Redshift, Lambda, Glue, etc.
• Strong command of SQL, Python, and other data manipulation languages.
• Experience managing and mentoring a team of engineers and leading cross-functional initiatives.
• Strong understanding of data governance, data security, and compliance frameworks (e.g., GDPR, CCPA).
• Excellent problem-solving and communication skills.