Data Architect: Azure, Databricks & AI in San Diego
Energy Jobline
San Diego, CA, United States
22 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Meta-Data Management
Azure Data Lake
Enterprise Data Management
Pinecone
Qdrant
Azure Data Factory
+11 more
Apache Spark
Informatica Cloud
Data Layers
Microsoft Fabric
Pgvector
Data Lineage
Collibra
Data Management
Azure Synapse Analytics
Data Pipelines
Databricks
Requirements
We are seeking a Enterprise Data Architect with strong hands-on experience designing and modernizing enterprise-scale data platforms, with a focus on Azure, Databricks, data governance, and AI-ready architectures., * 8+ years of experience in Enterprise Data Architecture, Data Engineering, or Data Platform Modernization.
- Strong hands-on expertise in Azure Databricks, ADLS Gen2, Microsoft Fabric, Synapse, Azure Data Factory, and Spark.
- Deep understanding of enterprise data modeling, integration, metadata management, data lineage, governance, and security.
- Experience designing lakehouse architectures, AI/ML-ready data platforms, semantic layers, and scalable data pipelines.
- Experience with GenAI, vector databases (Pinecone, pgvector, Qdrant), and AI-driven data architectures .
- Knowledge of enterprise governance tools such as Microsoft Purview, Collibra, Informatica Cloud Data Governance or Alation.
- Proven ability to lead enterprise architecture strategy while remaining hands-on with technical design and implementation.
- Strong communication skills and experience collaborating with senior technology and business stakeholders.
Industry Preference: Financial Services experience , but not mandatory.
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Apply on www.energyjobline.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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