Analytics Engineer

Why You'll Love This Role: 

In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation. 

You will lead and mentor junior engineers and set the technical direction for the analytical team. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise. 

What You'll Be Doing:

• Set the technical direction for the analytics team (architecture, conventions, approach).
• Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships.
• Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself.
• Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly.
• Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute.
• Negotiate scope directly with stakeholders.
• Drive a cadence of proactive analysis so the team surfaces questions the business hasn't asked, rather than waiting for tickets.
• Define the team's data testing strategy and govern how business logic is validated across the analytics layer.
• Own the operational health of the analytics layer (monitoring, alerting, incident response, and release readiness for what the team ships).
• Mentor the engineers around you and build shared understanding through documentation and technical presentations.
• Lead large-scale migrations and performance efforts, setting the approach and enabling the team to execute rather than executing alone.

 About You:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data analysis and data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.