Data Analytics Engineer

📋 Description

• Architect, build, and maintain a modern cloud data warehouse that serves as the foundation for
• Own data transformations end to end, from raw ingestion through reliable, documented, and stable
• Design and maintain ELT pipelines that integrate data from GTM, Finance, Product, Customer Success
• Establish the technical foundation for BI and semantic-layer capabilities, including metric
• Develop curated data models supporting product usage, customer adoption, account health, and
• Own data quality, governance, and lineage through freshness monitoring, automated testing, access

🎯 Requirements

• 6+ years of experience in analytics engineering, data engineering, or a related field, with
• Strong SQL expertise and a track record of delivering analytical models relied upon by multiple
• Hands-on experience with modern cloud data warehouses, with Snowflake preferred or comparable
• Extensive experience with a transformation framework such as dbt or SQLMesh.
• Proficiency in Python or a similar scripting language for data ingestion, validation, automation
• Experience working with BI or semantic-layer platforms such as Omni, Looker, Tableau, or comparable

🎁 Benefits

• Estimated base salary of $160,000–$190,000 plus bonus.
• Comprehensive benefits package in addition to cash compensation.
• 401(k) plan.
• Medical and dental coverage.
• Total Rewards package with additional benefits based on eligibility.
• Compensation may vary depending on market considerations and objectively assessed individual