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Level:
Senior individual contributor (not a people-manager role)
Role Overview
We’re looking for a Senior Analytics Engineer to own how Superset turns raw operational data into trustworthy analytics.
We deliver custom dashboards to enterprise university and employer customers, and our top priority is making those numbers consistent and easy to trust.
You’ll own the foundation that makes that possible: a governed, versioned dataset layer that every dashboard is built on and you’ll be the human quality gate over an in-house AI agent that drafts dashboards for you to review and publish.
This is a senior, hands-on IC role. You are the person who defines what “correct” means for our data and is accountable for it the standard our team and our AI tooling build against.
One outstanding engineer here beats three average ones.
What You’ll Do
- Own the governed dataset layer. Design canonical, versioned,
tenancy-safe datasets on Redshift starting as blessed “base” SQL definitions and growing into a dbt-style modeled layer that every customer dashboard is built on.
- Set the standards. Define how we scope data per tenant, how we version datasets so a refresh never silently breaks a customer’s view, and how we test that the numbers are right.
- Be the quality gate. Review dashboards drafted by our in-house AI agent, verify the numbers, and publish them (draft → published) to the right customer audience.
- Improve our standard dashboards. Raise the correctness, clarity, and performance of the dashboards every customer receives.
- Steer the pipeline. Partner with engineering and our data-pipeline consultant on the MySQL → DMS → Redshift → Airflow pipeline and help shape its architecture.
- Optimize for scale. Tune slow queries and stored procedures, and help evolve Redshift as our primary analytics backend.
What We’re Looking For
- 5+ years in analytics engineering, data engineering, or BI, with deep SQL and strong d