Principal Data Platform Engineer(Snowflake Architecture))

Summary

Title: Principal Data Platform Engineer(Snowflake Architecture)

Location: Arlington, VA(Hybrid)

Duration: 6-12+ Months

Formal 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.

Job Description

Title: Principal Data Platform Engineer(Snowflake Architecture)

Location: Arlington, VA(Hybrid)

Duration: 6-12+ Months

Formal 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.