Own the Analytics Architecture
Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer.
Translate complex business concepts (e.g., employer subsidies, commuter utilization, B2B revenue recognition, trip profitability) into scalable, well-tested data models.
Establish modeling standards using dbt to ensure consistency, reusability, and performance.
Partner Cross-Functionally
Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products.
Serve as a thought partner on metric definitions, experimentation design, and KPI tracking.
Identify opportunities to improve existing data infrastructure and proactively drive implementation of better solutions.
Drive Analytics Engineering Excellence
Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt.
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.
Strengthen Data Governance & Quality
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.

Staff Analytics Engineer

Key skills