Hiring: IT Ent. Data Architect Company: Convene, Inc. Location: Tampa, FL Job Posted Time: 2026-09-03 10:23:50 Target Skills & Keywords : Feature Store, RAG, SQL, SaaS, Salesforce, Snowflake About the job Experience: •10+ years in data architecture, data modeling, or enterprise data roles. Required Skills: •The IT Enterprise Data Architect defines, owns, and drives company enterprise data model across the internal •Including data as it moves through the Boomi integration layer. •The architect establishes the semantic and canonical data layers and the reusable data constructs that underpin company's enterprise AI development, and sets the standards that data engineering, business applications, and integration teams build against. •Liaises with Product & Engineering (P&E): to ensure data alignment and interoperability — but is not responsible or accountable for the P&E / product data domain. •Partners closely with Data Engineering and Information Security: both of which sit outside of IT, on pipeline / •Platform design and on data protection, classification, and compliance. •Operates within and helps chair the Data Architecture Working Group: the cross-functional governance body •(IT, P&E, Business) that owns the canonical model, ratifies design decisions, and sets the architecture standards the estate builds against. Qualifications: •Deep, hands-on experience architecting data in a highly customized Salesforce environment — custom objects, schema, and data model. (Must-have.) •Demonstrated, hands-on experience with Snowflake and Boomi. (Must-have.) •Deep, hands-on proficiency with the data tools used day-to-day for analysis and review — SQL, Salesforce •(SFDC), Microsoft Fabric, and Snowflake. (Must-have.) •Canonical keys, cross-system identity spine design, and SoR governance. (Must-have.) •Proven track record defining enterprise data models, canonical and semantic layers, and classification / •Strong command of integration architecture and field-level data mapping across enterprise systems. •Solid data governance, metadata, lineage, and data-quality fundamentals. •Analysis, remediation sequencing, and tracking outcomes to closure across a complex estate. •Proven experience converging a post-M&A or post-growth application estate onto a rationalized, canonical model — not greenfield architecture, but remediation and convergence in a complex, heavily-customized environment. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!