Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Visionaire Partners

Principal Data Architect

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
75
out of 100
Average of individual scores

Were these scores useful?

Job Description

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.