Senior Analytics Engineer
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Job Description
Senior Analytics Engineer managing Backend infrastructure, dbt models, and analytics engineering for a data-driven PropTech. Influencing architecture and data quality standards for high-stakes decisions.
Responsibilities:
- Own Landing's dbt models, data pipelines, and warehouse architecture.
- Maintain dbt model library — keeping models clean, tested, documented, and aligned with business data usage.
- Manage Landing's ELT stack — including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling.
- Establish a finance and operations data spine — authoritative source of truth for core executive KPIs, metric definitions, and warehouse logic.
- Develop analytics engineering standards, tooling decisions, and long-term roadmap for data platform.
- Foster cross-functional data partnerships with Engineering, FP&A, and Accounting — translate between technical infrastructure and business need.
- Enforce data quality standards, testing frameworks, and metric governance practices.
- Support executive, board, and investor reporting — work directly impacts high-stakes decision-making and fundraising.
Requirements:
- 5+ years in Analytics Engineering, Data Engineering, or Business Intelligence with a strong backend focus.
- Expert-level dbt — production models at scale, with fluency in testing, documentation, lineage, and model architecture best practices.
- Strong SQL and deep experience designing data models for analytical use cases.
- Hands-on Snowflake experience (or comparable cloud warehouse: Redshift, BigQuery, Vertica).
- Experience building and maintaining data pipelines — understand ELT patterns, source system integration, and build for reliability.
- Ability to translate between technical infrastructure and business context — able to sit with FP&A or Accounting, understand needs, and build a delivering model.
- A bias toward documentation, clarity, and ownership — leave things better than found.
- Comfort with ambiguity and fast-moving priorities — judgment matters.
- Strong communication skills — able to explain a data model to an analyst and a pipeline failure to a CFO.
Benefits:
- Competitive compensation + stock options
- Comprehensive benefits — Medical, Dental, Vision, Life and AD&D, Disability, Mental Health, Pet, Commuter, FSA or HSA
- 401(k) plan and access to ImmediatePay
- Generous PTO policy
- Opportunities for upward mobility — we want you to grow with us
- $750 annually in Landing Stays
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