Data Fabric Architect - MS Fabric & Enterprise Modeling

Themesoft Inc; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Themesoft Inc in Columbus is seeking a Data Architect to define and implement enterprise data models for a Microsoft Fabric-based architecture. You will translate business capabilities into governed conceptual, logical, physical, and semantic models, enabling trusted data products and analytics across Fabric, OneLake, and related platforms.

Lead patterns for data contracts, open table formats, and schema evolution while partnering with business domain owners and the Data Team to align with

Qualifications

• 10+ years of experience in data architecture or data engineering.
• Hands-on modeling across conceptual, logical, and physical layers.
• Experience with Microsoft Fabric and related lakehouse components.
• Ability to design enterprise ontologies and data contracts.
• Experience with open table formats and governance.

Responsibilities

• Define enterprise ontology and domain taxonomies across domains.
• Develop conceptual and logical models with domain boundaries and relationships.
• Design physical models for Lakehouse workloads and table formats.
• Create data contracts, data ownership, and master/reference data alignment.
• Collaborate with security to implement RBAC and sensitivity labels.

Skills

Enterprise Ontology

Domain Modeling

Data Contracts

Schema Evolution

Data Governance

Cross-domain Collaboration

Tools

Microsoft Fabric

OneLake

Lakehouse

Delta Lake

Apache Iceberg

Apache Hudi

Power BI

Azure Data Factory

Synapse

Spark

Databricks

Snowflake

Job description

Themesoft Inc in Columbus is seeking a Data Architect to define and implement enterprise data models for a Microsoft Fabric-based architecture. You will translate business capabilities into governed conceptual, logical, physical, and semantic models, enabling trusted data products and analytics across Fabric, OneLake, and related platforms.

Lead patterns for data contracts, open table formats, and schema evolution while partnering with business domain owners and the Data Team to align with