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Job Description
Structured overview of role & requirementsAbout This Role
Lead and engineer data warehousing initiatives across cloud and on-prem environments to drive strategic data solutions.
Develop and optimize data products, replication, and transformation pipelines using Snowflake, dbt, and HVR to ensure data quality, accessibility, and performance.
Implement data governance, security, compliance, and continuous improvement processes within data warehousing operations.
Minimum Requirements
Minimum 3 years experience in on-prem and cloud data warehousing, with at least 2 years in leadership of warehousing teams.
Bachelor's degree in Data Science, Computer Science, or related field; Master's preferred.
Hands-on experience with Snowflake, AWS S3, Python and/or SQL programming, data pipeline development tools (HVR, Airflow, dbt), and DevOps tools (Terraform/CloudFormation, CI/CD).
Strong understanding of data modeling, data quality, secure data onboarding/governance, and experience with batch and real-time data processing.
Ideal Candidate Profile
Experienced leader in data warehousing teams with ability to manage both technical and stakeholder communication aspects.
Proficient with advanced cloud data warehouse platforms and automation engineering tooling in fast-paced environments.
Skilled in incorporating data governance and security within scalable, high-performance data solutions and driving innovation through continuous process improvement.