Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making.
Build and maintain ELT pipelines from source systems to data warehouses.
Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale.
Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality.
Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship.
Contribute towards a robust data security strategy protecting sensitive information and content.
Solve critical business problems through the application of programming, optimization, automation, and analytical skills.

Minimum 5+ years of relevant experience in data engineering and/or analytics engineering
Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB
Expertise with data modeling and ETL/ELT (DBT preferred, pipeline development a plus)
Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred)
Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development
Proven track record of working with data teams in a fast-paced, startup environment
Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders
Solutions-driven and thrives when given ambiguous, open-ended problems
Proven success driving projects through implementation to completion, including stakeholder education and onboarding
Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.)

Senior Analytics Engineer

Key skills