Title: Principal Data Platform Engineer(Snowflake Architecture)
Location: Arlington, VA(Hybrid)
Duration: 6-12+ MonthsFormal Education Required:
Bachelor’s degree in computer science or related field. Experience and Certifications Required: Minimum of 10 years of progressive experience in data engineering, data warehousing, or related technical roles, including at least five (5) years of hands-on experience architecting and building on Snowflake. Demonstrated experience implementing a medallion (Bronze / Silver / Gold) or comparable layered architecture, operating in an infrastructure-as-code model, and deploying through Git-based CI/CD workflows. Experience serving as a technical lead or senior point of accountability on a data platform or program, including setting standards and reviewing the work of others. Experience implementing platform observability, monitoring, alerting, and operational dashboards. Snowflake certification (e.g., SnowPro Core or Advanced) and/or relevant AWS certifications preferred.
Knowledge, Skills and Abilities:
Required (as demonstrated by prior work experience):Deep Snowflake expertise, including warehouse design, RBAC, performance tuning, and cost management.
Full understanding of the Snowflake Data and AI Cloud — Cortex / Snowpark ML, Snowflake Openflow, Snowpipe, Snowpark, SnowSQL, Snowflake Horizon, and Snowflake data warehousing.
Strong proficiency in Python and advanced SQL, with the ability to design pipelines that are testable, observable, and maintainable.
Experience with cloud architectures, including AWS in a data context (e.g., S3, IAM, networking/PrivateLink).Familiarity with the end-to-end data analytics workflow, from source ingestion through transformation, semantic modeling, and BI consumption (e.g., Power BI).Strong data modeling and data warehousing fundamentals, with knowledge of databases and modern ELT patterns.
