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.