Senior Enterprise Finance Data Engineer - Customer-Facing

Preql AI; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Preql AI is building a data platform that helps large enterprises clean, unify, and govern finance data for AI, analytics, and reporting. You will join a small team in New York focusing on end-to-end deployments inside customer environments, turning hand-built work into scalable product capabilities.

You will own semantic models for finance logic, work with controllers and FP&A, and translate finance needs into robust data models. This is a hands-on, high-ownership role with rapid impact.

Qualifications

• 5+ years building data pipelines in production with SQL and Python.
• Direct experience with cloud warehouses (Snowflake, Databricks, BigQuery) and dbt.
• Strong knowledge of financial data and chart of accounts.
• Experience with enterprise customers, including scoping and delivering outcomes.
• Comfort with ambiguity and ability to write playbooks.
• Ability to translate finance terms to data models.

Responsibilities

• Own outcomes for enterprise accounts from kickoff to production and expansion.
• Build semantic finance models: revenue recognition, cost allocation, GL hierarchies.
• Integrate sources across ERPs, planning systems, warehouses; surface reconciliations.
• Lead sessions with controllers and FP&A, translating finance to data models.
• Judge whether issues are modeling, data, or product gaps; route accordingly.
• Provide concrete product feedback to drive engineering improvements.
• Create reusable model templates and docs to accelerate deployments.

Skills

SQL

Python

Data Modeling

Cloud Warehouses

dbt

Tools

Snowflake

Databricks

BigQuery

Job description

Preql AI is building a data platform that helps large enterprises clean, unify, and govern finance data for AI, analytics, and reporting. You will join a small team in New York focusing on end-to-end deployments inside customer environments, turning hand-built work into scalable product capabilities.

You will own semantic models for finance logic, work with controllers and FP&A, and translate finance needs into robust data models. This is a hands-on, high-ownership role with rapid impact.