Principal Data Architect

  • Location: Atlanta, Georgia
  • Type: Direct Hire
  • Job #22886

Principal Data Architect

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.

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