Remote Senior Data Architect for AI-Ready Data Platforms

deploy; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

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.

As Senior Data Architect (Contract), you will design canonical data models, collaborate with client data teams, and guide semantic layer and governance strategies to enable ML-ready data products.

Qualifications

• Strong data modeling and schema design experience in conceptual, logical, physical layers.
• Experience with Databricks and Spark-based data platforms.
• Ability to reverse-engineer undocumented schemas and infer relationships.
• Experience building enterprise data models in multi-source environments.
• Semantic layer design experience, Power BI as downstream consumer.
• Comfort working with business stakeholders to define data definitions and governance policies.
• Interest in learning AI tooling.

Responsibilities

• 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
• Provide architectural direction for downstream data models
• Advise on ML-ready data products

Skills

Data modeling

Schema design

Canonical data models

Metadata governance

AI tooling curiosity

Stakeholder collaboration

Tools

Databricks

Apache Spark

Power BI

Job description

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.

As Senior Data Architect (Contract), you will design canonical data models, collaborate with client data teams, and guide semantic layer and governance strategies to enable ML-ready data products.