Principal Enterprise Data Architect, Finance & Analytics

Roles and 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.

Job Requirements :

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..