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Tier-1 brand, popular data-engineer title, and metro location increase candidate competition.
Snowflake and pipeline skills are transferable, though banking controls domain increases domain specificity.
Explicit 8+ years, mandatory Snowflake/SQL/Python and leadership expectations make screening stringent.
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Lead design, development, and scaling of a Snowflake-based Centralized Control Data Store integrating data from 30-40 upstream systems.
Develop and optimize data pipelines, models, ETL/ELT processes to support control analytics, enterprise reporting, and AI/ML use cases.
Provide technical leadership and mentorship, ensuring data quality, platform stability, and delivery of consumption-ready data products to business stakeholders.
8+ years of data engineering experience with hands-on Snowflake development.
Strong expertise in Snowflake features: Snowpipe, Tasks, Streams, SQL, and modern data modeling techniques.
Proficient in Python programming for building scalable ETL/ELT solutions.
Work Experience Required: Minimum 8 years data engineering experience.
Experienced in integrating and transforming large-scale data from multiple systems for critical control and risk reporting.
Demonstrated capability to lead technical workstreams and mentor engineers within agile technology teams.
Comfortable operating at the intersection of business and technology to translate strategic requirements into scalable data solutions.