Senior Data Engineer
Recruiter Fit Breakdown & Candid Summary
Snowflake is seeking a Senior Data Engineer with 5 to 8 years of experience to design and operate production-ready data pipelines and platforms.
The ideal candidate possesses expert-level SQL and Python skills, deep experience with Snowflake and dbt, and a strong background in dimensional modeling and Apache Airflow.
This role is not for ticket-takers; it requires end-to-end system ownership, technical decision-making, and close stakeholder collaboration.
Candidates lacking hands-on Snowflake and dbt expertise or those uncomfortable in fast-paced, ambiguous environments should not apply.
Role Responsibilities
- 1Design, build, and launch production-ready data models and pipelines across the enterprise data lifecycle
- 2Own complex system design decisions end-to-end and evaluate architectural tradeoffs
- 3Implement enterprise-grade data governance frameworks and maintain rigorous data quality standards
- 4Develop and optimize data ingestion processes from diverse enterprise sources
- 5Align with product roadmaps and apply Agile methodologies to data product development
- 6Build strong relationships with stakeholders and translate ambiguous requirements into technical work
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
Will an ATS filter reject your resume for this role?
Check your keyword match score, missing must-have skills, and formatting flags — before you apply.
No signups. Free check in 3 seconds.
Ready to submit your application?
Apply directly on Snowflake's official job portal.
Similar Jobs
Software Engineer Intern
Together AI • San Francisco, US
Software Engineer Intern
Together AI • San Francisco, US
Software Development In Test Intern
Together AI • San Francisco, US
Associate, Real Estate and Office Services
Gemini • Tempe, United States