[Remote] Lead Analytics Engineer
Note: The job is a remote job and is open to candidates in USA. Apartment List is a company that relies heavily on data, and they are seeking a Lead Analytics Engineer to shape architecture decisions and mentor engineers. This role involves both strategic thinking and hands-on execution, influencing cross-functional roadmaps and improving data systems.
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
Skills
- 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
- Ownership of BI tools as a product, including semantic layer health and cross-team data model standards
- 2+ years working with performance marketing and frontend eventing data
Company Overview
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