Lead Analytics Engineer
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AI Summary
The Lead Analytics Engineer designs end-to-end data solutions and shapes architecture standards to improve data system health. They also mentor other engineers and collaborate with cross-functional teams to drive business outcomes through data products.
About the Role
Apartment List runs on data, and the Analytics Engineering team builds the internal data products that power decisions across Product, Marketing, Operations, Finance, and beyond. We hold ourselves to high standards through rigorous process, governance, and technical execution, and we form genuine partnerships with the teams we serve.
This role is equal parts strategic thinking and hands-on execution. As a Lead Analytics Engineer, you'll be a technical anchor for the team: shaping architecture decisions, mentoring engineers, and driving initiatives that improve both the health of our data systems and the business outcomes they enable. You'll operate at company scope, influencing cross-functional roadmaps and setting the bar for what great analytics engineering looks like at Apartment List.
Responsibilities
- Design data solutions end-to-end: evaluate architecture options, articulate tradeoffs, and deliver production-ready, testable, maintainable code.
- Influence and evolve the team's data architecture standards by researching, testing, and implementing modeling and tooling best practices, and analyzing the technical risks and long-term implications of key decisions
- Proactively find and execute on high-value tech health and business opportunities before they're on anyone's roadmap
- Actively participate in business measurement discussions, communicating both the value and structural limitations of proposed metrics
- Mentor AEs and analysts with targeted feedback and specific growth expectations; enable the broader team through documentation, process development, and knowledge sharing
- Contribute to roadmap and goal-setting as a decision-maker
- Communicate clearly with technical and non-technical audiences, anticipating blockers and scope changes before they require escalation
Qualifications
- 7+ years in analytics engineering or a closely related data role, with a track record of end-to-end technical ownership across architecture, delivery, and long-term maintenance.
- Expert SQL: performant at scale, structured for readability, and built to handle edge cases.
- Advanced dbt, including building team practices around testing, documentation, and modularity
- Proven data architecture decisions with lasting structural impact
- Enabled others through mentorship, code review, process, or tooling
- Easily explain data architecture tradeoffs to both engineers and business stakeholders in the same conversation
- Deep ELT/ETL knowledge with strong instincts for observability and failure recovery
- CI/CD in a data context, including automated testing pipelines and deployment validation
- Bonus: Ownership of BI tools as a product, including semantic layer health and cross-team data model standards
- Bonus: 2+ years working with performance marketing and frontend eventing data
Compensation
We carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:
- Tier 1: $165,000 to $200,000 (Base: $148,500 to $176,000)
- Tier 2: $153,000 to $185,000 (Base: $137,700 to $162,800)
- Tier 3: $141,000 to $170,000 (Base: $126,900 to $149,600)
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