Lead end-to-end data architecture strategy and execution across lakehouse, warehousing, governance, and semantic/ontology layers. Design and deliver modern data architectures. Experience with Databricks, Azure Synapse, and SQL Server.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Title: Lead Data Architect
Location/Remote: Hybrid in Atlanta, GA
Salary: Up to $220k
Benefits: Medical, Dental, Vision, HSA/FSA, 401(k), and more
Relocation assistance may be available.
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Our impressive client in Atlanta are seeking someone to lead end-to-end data architecture strategy and its execution across lakehouse, warehousing, governance, and semantic/ontology layers.
The Ideal Candidate Will Have:
- Deep expertise designing and delivering modern data architectures (lakehouse, warehouse, integration, governance, and semantic layers)
- Hands-on experience with Databricks for data lakes/lakehouse implementations
- Hands-on experience with Azure Synapse, Azure Data Factory, and SQL Server in production environments
- Experience defining and operationalizing data governance models, including ownership, stewardship, data quality, and metadata management
- Strong knowledge of data management frameworks and how to apply them pragmatically to delivery and operations
- Experience designing ontology-based architectures to standardize meaning and enable semantic interoperability
- Experience with OWL, RDF, and SPARQL, including designing, querying, and maintaining semantic/knowledge graph assets
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Preferred Skills:
- Exposure to AI agents and AI-driven data use cases, including architecture patterns that enable responsible model and agent consumption of governed data
- Experience delivering data platforms in regulated or compliance-heavy environments (e.g., pharma, food tech, or similar)
- Experience scaling data platforms in small-company settings, including managing petabyte-scale data volumes with lean teams
- Experience supporting fintech or high-volume startup environments where latency, reliability, and auditability are critical
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