Principal Data Architect

Visionaire Partners; Atlanta (GA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Visionaire Partners seeks a Senior Principal Data Architect to lead enterprise data architecture efforts in ATL. You will bridge strategic design with hands-on development, guiding data platforms and AI-enabled architectures.

You will work with Databricks, Azure Synapse, and Delta Lake to build scalable data pipelines, semantic models, and governance standards, while mentoring teams and setting best practices.

Qualifications

• 10+ years of enterprise data architecture/engineering experience with progression to a Principal Architect or comparable leadership role.
• Strong expertise across the Microsoft/Azure data stack (SQL Server, Databricks, Azure Data Lake, Synapse, Purview).
• Hands‑on experience with semantic modeling, OWL, RDF, SPARQL.
• Strong proficiency with Python, Spark, and SQL.
• Experience with modern AI frameworks or AI-enabled data architectures.
• Bachelor's degree required.

Responsibilities

• Operate in a 50% architecture / 50% hands-on technical leadership capacity—setting enterprise data architecture and strategy while solving complex technical challenges.
• Architect modern data platforms, including data models, lakes, warehouses, and pipelines using Databricks, SQL Server, Azure Synapse, and Delta Lake.
• Design semantic models and ontology frameworks using OWL, RDF, and SPARQL for analytics and AI integrations.
• Build and optimize high-volume ETL/ELT and telemetry pipelines using Spark, Python, and SQL.
• Establish standards for data quality, lineage, metadata, governance, and observability.
• Help architect and prototype AI/agentic AI solutions, including orchestration frameworks and semantic data capabilities.

Skills

10+ years experience

Azure data stack

Python

Spark

SQL

AI frameworks

Education

Bachelor's degree

Tools

Databricks

Azure Data Lake

Azure Synapse

SQL Server

Purview

Delta Lake

OWL

RDF

SPARQL

Job description

Long-term opportunity with a rapidly growing company!

Responsibilities

• Operate in a 50% architecture / 50% hands‑on technical leadership capacity—setting enterprise data architecture and strategy while staying close to the code to help development teams troubleshoot issues and solve complex technical challenges.
• Architect modern data platforms, including data models, lakes, warehouses, and streaming/batch pipelines using Databricks, SQL Server, Azure Synapse, and Delta Lake.
• Design semantic models and ontology frameworks using OWL, RDF, and SPARQL, integrating structured and unstructured data for analytics and AI.
• Build and optimize high-volume ETL/ELT and telemetry pipelines using Spark, Python, and SQL.
• Establish standards for data quality, lineage, metadata, governance, and observability.
• Help architect and prototype AI/agentic AI solutions, including orchestration frameworks and semantic data capabilities.

This is a direct-hire opportunity in Atlanta. Work onsite 2 days per week (Tuesday/Wednesday) and 3 days remotely with flex hours.

Required Skills

• 10+ years of enterprise data architecture/engineering experience with progression to a Principal Architect, Principal Data Architect, or comparable technical leadership role
• Strong expertise across the Microsoft/Azure data stack, including SQL Server, Databricks, Azure Data Lake, Synapse, and Purview
• Hands‑on experience with semantic modeling, OWL, RDF, and SPARQL
• Strong proficiency with Python, Spark, and SQL
• Experience with modern AI frameworks or AI-enabled data architectures
• Bachelor's degree

Preferred Skills

• Deep understanding of ontologies, knowledge graphs, data lineage, metadata, and catalogs
• Experience with agentic AI frameworks, vector databases, or semantic telemetry
• Experience implementing ontology‑driven architecture across teams or business domains
• Experience in regulated or data‑intensive industries such as Healthcare, Pharma, Food/Agriculture, Banking, or Utilities

Must be authorized to work in the US. Sponsorships are not available.