#743 Sr. Data Engineer (Finance Domain)

Required Qualifications

• Strong hands-on experience with Snowflake, SQL, and dbt, including dimensional modeling and curated analytical data layers.
• Proven experience developing data models for Finance, Accounting, Procurement, or FP&A use cases.
• Understanding of financial data structures, relationships, and business concepts such as GL, AP/AR, budgeting, forecasting, procurement, and expense management.
• Familiarity with data originating from financial applications such as NetSuite, Coupa, Brex, Workday Adaptive Planning, or equivalent enterprise systems.
• Familiarity with Snowflake's AI and analytics capabilities, particularly Semantic Views and Cortex Agents.
• Ability to communicate effectively with both technical teams and nontechnical Finance stakeholders.

Ideal Candidate Profile

A technically strong Snowflake/dbt Data Engineer with practical Finance domain knowledge who can independently design curated financial data models, engage with business stakeholders, and leverage Snowflake's semantic and AI capabilities to deliver actionable business insights.

• Experience implementing Snowflake Semantic Views or developing AI-enabled analytics solutions using Cortex.
• Understanding of financial reporting, reconciliation, and data governance requirements.
• Experience integrating financial data from multiple enterprise systems into a unified analytics platform.
• Experience supporting Finance transformation, reporting modernization, or self-service analytics initiatives.

Important Clarification

Direct experience with specific applications such as NetSuite, Coupa, Brex, or Workday Adaptive Planning is not mandatory. What matters most is a strong understanding of financial data, common business objects, their relationships, and how they are used across Finance and Procurement workflows.

Role Overview

We are seeking an experienced Senior Data Engineer with Finance Domain Expertise to support our Finance and Procurement teams in building and optimizing data models within Snowflake.

The ideal candidate combines strong technical capabilities in Snowflake and dbt with a solid understanding of financial data structures, business processes, and reporting requirements. This role requires someone who can translate Finance and Procurement business needs into scalable, curated data models that support analytics, reporting, and AI-driven insights.