Sr Engineer, Data Warehousing & Automation Engineering

Overview

Sr Engineer for Data Warehousing & Automation Engineering who leads data warehousing initiatives using Snowflake and automation to improve decision-making, data quality, and governance.

What you'll do

• Develop and implement a data warehousing strategy in alignment with business objectives.
• Oversee integration of data products in Snowflake and dbt to ensure seamless data flow and accessibility.
• Design and build data replication and transformation pipelines using tools such as HVR.
• Configure and manage HVR instances for performance and scalability.
• Develop automated data quality checks and monitoring procedures.
• Manage and optimize Snowflake data warehouse/data mart solutions for performance, reliability, and cost control.
• Ensure security, compliance, and governance are integrated into data warehousing processes.

What you'll need

• 10+ years of experience in on-prem and cloud-based data warehousing and data marts.
• At least 5 years focused on leadership of Snowflake warehousing team(s).
• Bachelor’s degree in Data Science, Computer Science, or related field; Master’s preferred.
• Hands-on experience with AWS data lake technologies (e.g., AWS S3, Glue, Lake Formation) and/or Snowflake.
• Knowledge of data lake design patterns (raw, curated, consumption zones; medallion architecture).
• Programming skills in Python and/or SQL for production code and reusable libraries/tests.
• Experience with data governance/cataloging tools (e.g., Unity Catalog, Collibra, Atlan, AWS Glue Data Catalog).