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Specialized Snowflake/dbt/HVR requirements with metro location create moderate competition.
Core data engineering skills transfer across industries, but financial governance needs increase sensitivity.
Explicit 7+ years, 4 years leadership, and many mandatory technologies imply high shortlisting strictness.
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Lead development and delivery of data warehousing solutions aligning with business objectives to enhance decision-making.
Manage integration and optimization of Snowflake and dbt data products, including designing data replication and transformation pipelines using HVR.
Implement data quality, security, governance, and cost management strategies; collaborate with cross-functional teams for continuous improvement and innovation.
7+ years in on-premise and cloud data warehousing, with at least 4 years in leadership roles for warehousing teams.
Bachelor’s degree in Data Science, Computer Science, or related field; Master’s degree preferred.
Hands-on experience with Snowflake, AWS S3, Python and/or SQL programming, HVR, Airflow, Step Functions, dbt, and DevOps tools like Terraform/CloudFormation and CI/CD.
Experience in data governance, cataloging, data modeling, quality, security, and both batch and real-time data processing.
Experienced leader capable of managing and scaling data warehousing teams and solutions in both cloud and on-prem environments.
Deep hands-on technical expertise across Snowflake, AWS, data pipelines, orchestration, and DevOps for data workflows.
Strategic operator focused on integrating governance, security, cost optimization with rapid prototyping and continuous process improvement.