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Lead Analytics Engineer

141k – 200kUnited StatesRemote7+ YOE
Summary

Lead Analytics Engineer responsible for shaping data architecture, mentoring the team, and delivering end-to-end data solutions that power decisions across Product, Marketing, Operations, and Finance. Requires 7+ years experience, expert SQL, advanced dbt, and proven data architecture impact.

About the role

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

Nice-to-Haves

  • 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

Compensation & Benefits

  • US Total Target Compensation (TTC):
    • 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)
  • Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation
  • Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
  • Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
  • Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone
  • Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
  • Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
  • 401k Plan
  • Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
  • Mentorship and Training
  • Impact and Visibility on highly strategic initiatives
Skills
SQLdbtELTETLCI/CDData ArchitectureData ModelingObservabilityBI ToolsSemantic Layer
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