Sr. Analytics Engineer

What You’ll Do:

• Design the long-term technical vision for Lime’s Corporate Data Warehouse to build a robust, scalable Finance-grade semantic layer.
• Own the Finance data modeling strategy across core systems, including NetSuite and sub-ledgers.
• Enforce strict data governance and controls: data ownership, glossary, lineage, change management, access patterns, and automated data quality validation.

About You:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 5+ years in analytics engineering / data warehousing, with a track record of designing architectures that scale in fast-growing environments.
• Demonstrated ability to influence technical and non-technical stakeholders at the Director/VP level.

Technical Requirements:

• Cloud & warehouse: 5+ years building and scaling data stacks on cloud providers (AWS preferred), including deep production experience with Snowflake.
• SQL & Python: expert-level, high-performance SQL, plus strong Python for transformation, tooling, and automation.
• dbt: deep expertise (macros, packages, performance patterns, project structuring) and a clear philosophy on how to run large-scale dbt programs.

Finance & Accounting Requirements:

• ERP fundamentals (NetSuite preferred): transactions and their GL impact, accounting periods and close calendars, dimensionality.
• General Ledger & sub-ledgers: comfort navigating GL and sub-ledger complexity, and modeling sub-ledger-to-GL reconciliations.
• Close & audit support: building reconciliation-ready datasets — control totals, roll-forwards, sub-ledger-to-GL tie-outs, variance explanations, and transparent lineage.