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Metro location and popular data role balanced by seniority and specialized Snowflake/DBT skills.
Core Snowflake, DBT and SQL skills transfer across industries, banking domain experience is beneficial.
Explicit 10+ years requirement and specific Snowflake, DBT, SQL, and ETL tooling mandate tight filters.
Lead design, build, and maintenance of large-scale enterprise data platforms, data lakes, and cloud solutions (esp. Snowflake).
Develop, optimize, and automate complex ETL/ELT data pipelines supporting data warehouse, operational data store, and data marts with security and governance.
Manage team deliverables, perform design reviews, coordinate release management, and provide production incident support working with global teams.
10+ years experience in Data Engineering, specifically in large-scale Data Warehouse and Data Lake environments.
Proficient in SQL and experienced with databases like Oracle, Netezza, Teradata, SQL Server plus cloud platforms like Snowflake and AWS.
Hands-on experience with ETL tools (IBM DataStage, SSIS, SAP BODS), basic knowledge of DBT or similar ELT tools, scripting skills in Python/Unix.
Experience with data modeling (Logical/Physical, Dimensional, Data Vault), scheduling tools (Control-M), GitLab version control, and CI/CD processes.
Experienced leader comfortable managing and delivering end-to-end enterprise data platform solutions with regulatory and business impact.
Strong technical depth in data warehousing, performance tuning, and automation within cloud and hybrid environments.
Proven collaborator capable of coordinating with cross-functional and global teams, and managing stakeholder expectations and delivery timelines.