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Metro location plus in-demand data engineering skills and broad tooling requirements create moderate applicant density.
Core data warehousing skills transfer across industries, though finance governance adds moderate domain specificity.
Explicit 7+ years, 4+ years leadership and many mandatory tooling requirements make filtering strict.
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Lead development and deployment of data warehousing solutions aligned with business objectives to enable data-driven decision-making.
Manage integration and performance optimization of Snowflake data warehouse, data marts, and data replication pipelines using HVR.
Implement automation for data quality, security, compliance, and cost management, collaborating with cross-functional teams to support organizational goals.
7+ years of experience in on-premises and cloud-based data warehousing with at least 4 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, HVR, Airflow, Step Functions, dbt, and DevOps tools like Terraform/CloudFormation and CI/CD pipelines.
Strong knowledge of data governance, cataloging, modeling, data quality, and secure data onboarding/governance.
Experienced leader capable of managing and optimizing complex data warehousing architectures involving cloud and on-prem technologies.
Technically proficient in Snowflake development and modern data engineering pipelines with an emphasis on automation and data governance.
Strategic thinker who actively integrates latest AI/ML engineering tools and cost optimization techniques to enhance data capabilities and operational efficiency.