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Medium: mid-level metro role with common data skills but Snowflake specialization reduces applicant density.
Medium: Snowflake and data engineering skills transfer across industries, but banking preference increases domain bias.
High: explicit 6+ years, mandatory Snowflake, SQL, Python and ETL tool experience required.
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Lead design and development of scalable Snowflake data warehouse and ETL/ELT solutions.
Provide technical leadership including mentoring, design/code reviews, and collaboration with business stakeholders.
Drive data modeling, data quality, governance, performance optimization, and support production deployments.
6+ years of overall IT experience with 4+ years in complex SQL and query optimization.
3+ years of hands-on Snowflake Data Engineering experience.
Strong Python programming skills and experience with ETL tools (e.g., Informatica, Talend, Matillion, DBT).
Experience leading technical teams and managing deliverables across multiple stakeholders.
Experienced in Snowflake platform and advanced data warehousing concepts including dimensional modeling and data governance.
Proven ability to lead technical teams in complex, enterprise-level data integration and analytics projects.
Familiarity with Agile delivery, cloud environments (AWS preferred), and CI/CD practices is advantageous.