Data Architect: Semantic Layer & Lakehouse Lead

Jobtailor; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in Atlanta, GA seeks a senior Enterprise Data Architect to define and implement Canonical Models and Semantic Layers atop large data lakes. You will lead the design of an Enterprise Ontology, semantic APIs, and data contracts.

Collaborate with ML/DevOps to enable MLOps, FinOps awareness, and metadata standards, ensuring data is discoverable and machine-readable across the organization.

Qualifications

• Bachelor's degree in CS, IS, Data Analytics or IT.
• 5+ years in data engineering/architecture in enterprise context.
• Proven ability to design and scale Canonical Models and Semantic Layers on massive data lakes/lakehouses.
• Deep architectural knowledge of Snowflake, Databricks, or Microsoft Fabric and cloud ecosystems like AWS or Azure.
• Strong data modeling across relational, dimensional, and Data Vault 2.0 or graph concepts.

Responsibilities

• Architect the framework enabling data-driven decisions.
• Co-own the design of the Enterprise Context Layer.
• Define vision, requirements, and roadmap for the Ontology and Semantic Layer.
• Design and deploy semantic abstraction layers exposing data via APIs.
• Bridge big data performance with semantic meaning.
• Lead consolidation of data domains into Canonical Models.
• Implement lakehouse patterns.
• Partner with ML/DevOps to maintain MLOps processes.
• Develop enterprise metadata standards and data contracts.
• Ensure data and business logic are highly discoverable and machine-readable.
• Implement reusable data quality and identity resolution frameworks.

Skills

Canonical Models

Semantic Layers

Data Modeling

Cloud Data Platforms

FinOps

Data Lakes

MLOps Collaboration

Education

Bachelor's degree in CS/IS/Data Analytics/IT

Tools

Snowflake

Databricks

Microsoft Fabric

Job description

Jobtailor in Atlanta, GA seeks a senior Enterprise Data Architect to define and implement Canonical Models and Semantic Layers atop large data lakes. You will lead the design of an Enterprise Ontology, semantic APIs, and data contracts.

Collaborate with ML/DevOps to enable MLOps, FinOps awareness, and metadata standards, ensuring data is discoverable and machine-readable across the organization.