Principal Enterprise Data Architect, Finance & Analytics

Role & responsibilities

• Translate complex business processes into robust, scalable enterprise data models.
• Define source-to-target architecture across NetSuite, Salesforce, Snowflake, and related enterprise platforms.
• Lead decisions around conformed dimensions, master data management (MDM), and reference-data strategy.
• Partner closely with the CFO, FP&A leadership, and finance stakeholders to design financial, management, and executive reporting models.
• Define clear boundaries for what workload and logic belongs in source systems, Snowflake, the semantic layer, and reporting tools.
• Establish data contracts, end-to-end data lineage, and enterprise architecture guardrails.
• Make pragmatic, high-impact architecture decisions while active migrations and modernizations are underway.
• Mentor, guide, and drive the Snowflake engineering and data delivery teams.

Preferred candidate profile

• 10-15+ years of experience in Enterprise Data Architecture, Data Engineering, and Analytics.

• Proven expertise in Snowflake architecture and platform design.

• Deep expertise in dimensional modeling, domain data modeling, and enterprise data warehousing patterns.

• Strong familiarity with ERP and finance datasets, preferably NetSuite or comparable enterprise ERPs.

• Hands-on experience with FP&A workflows, financial modeling,and management reporting requirements.

• Proven track record in source-system consolidation, system integration, or M & A data integration.

• Exceptional communication skills with a proven ability to align technical architectures with finance and business leadership.