Staff Analytics Engineer, Lime for Business

Lime Lime · Consumer · United States · Engineering

Lime is seeking a founding Staff Analytics Engineer for its new Lime for Business vertical. This role will define and lead the analytics architecture, owning the design of the business data warehouse, semantic layer, and metric foundations. The engineer will set technical standards, influence long-term architecture, and mentor others, focusing on scalability, data integrity, governance, and performance. Responsibilities include designing and implementing the data warehouse vision, translating business concepts into data models, establishing modeling standards with dbt, collaborating cross-functionally, leading ETL/ELT pipelines, defining best practices, and ensuring data governance and quality.

What you'd actually do

  1. Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer.
  2. Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products.
  3. Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt.
  4. Implement automated data validation and monitoring frameworks.
  5. Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness.

Skills

Required

  • Snowflake
  • dbt
  • Airflow
  • SQL
  • ETL/ELT pipelines
  • data modeling
  • semantic layer design
  • CI/CD workflows
  • automated data testing
  • analytics engineering
  • data warehousing
  • data architecture

Nice to have

  • B2B business models
  • marketplace business models
  • mobility-related business models
  • financial reporting systems
  • governed analytics environments

What the JD emphasized

  • define and lead the analytics architecture
  • own the design of the business data warehouse, semantic layer, and metric foundations
  • set the technical standards for analytics engineering
  • technical leader, influencing long-term architecture decisions
  • mentoring other engineers
  • fostering a culture of high craftsmanship, documentation, and data quality excellence
  • Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer.
  • Establish modeling standards using dbt to ensure consistency, reusability, and performance.
  • Serve as a thought partner on metric definitions, experimentation design, and KPI tracking.
  • Define best practices for SQL style, modular modeling, CI/CD workflows, and automated data testing.
  • Ensure high standards of documentation, observability, and auditability across all data assets.
  • Implement automated data validation and monitoring frameworks.
  • Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness.
  • Maintain integrity and reliability of business-critical metrics.
  • 7+ years of experience in analytics engineering, data warehousing, or data architecture roles.
  • Deep expertise with Snowflake, dbt, and Airflow in production environments.
  • Strong experience designing scalable data models and semantic layers for business reporting.
  • Proven track record leading large technical domains and setting architectural direction.
  • Strong SQL skills and experience implementing automated data testing and CI/CD workflows.
  • Demonstrated ability to influence cross-functional stakeholders, including Director/VP-level partners.
  • Comfortable operating in fast-paced, ambiguous environments with a high degree of ownership and autonomy.