Senior Data Architect

About Meaningful AI Meaningful AI helps organizations unlock the value in their data. We design and build AI-driven data platforms, taking clients from raw, undocumented data environments through to canonical models, semantic layers, and analytics-ready infrastructure. What You'll Do Design canonical data models for core business domains Discover and interpret schemas across complex legacy datasets (like Databricks) Reverse-engineer existing data structures and infer relationships across systems Establish standardized naming conventions, data definitions, and source-to-canonical mappings Collaborate with client data teams to understand data structures, calculated fields, and transformation logic Design semantic layers and data governance frameworks What We're Looking For Required Strong data modeling and schema design experience (conceptual, logical, physical) Experience with Databricks and/or Spark-based data platforms Demonstrated ability to reverse-engineer undocumented schemas and infer entity relationships Experience building canonical or enterprise data models in complex, multi-source environments Semantic layer design experience (ideally with Power BI as the downstream consumer) Comfortable working with business stakeholders to define data definitions and governance policies Eager to learn AI tooling Strongly Preferred Experience in regulated industries with complex data environments Experience with Medallion Architecture (bronze/silver/gold patterns) Familiarity with enterprise transaction and accounting systems Experience with modern AI tool sets Our client environments are managed with strict security controls and restricted internet access. You should be comfortable working within enterprise security constraints. #J-18808-Ljbffr