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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and evolution of a Snowflake-based centralized control data platform integrating data from 30-40 upstream systems.
Develop scalable data pipelines, data models, and ETL/ELT processes to support analytics, reporting, and AI/ML use cases for controls transformation.
Provide technical leadership, platform stability, data quality controls, and deliver trusted data products aligned with business requirements.
Minimum Requirements
8+ years of data engineering experience with hands-on expertise in Snowflake environments including Snowpipe, Tasks, Streams, SQL.
Strong programming skills in Python with experience building scalable ETL/ELT solutions.
Experience integrating data from multiple upstream systems and managing large-scale data transformation and reporting workloads.
Work Experience Required: 8+ years data engineering experience
Ideal Candidate Profile
Proven ability to translate strategic business and control requirements into scalable data engineering solutions centered on Snowflake.
Experienced in leading technical workstreams and mentoring engineers in agile team environments.
Strong knowledge of data governance, data quality, and operational support in complex enterprise data platforms.