> Markdown version of [/jobs/ext/4168063-data-architect-azure-databricks-ai-in-san-diego](https://www.wearedevelopers.com/jobs/ext/4168063-data-architect-azure-databricks-ai-in-san-diego). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect: Azure, Databricks & AI in San Diego - **Company:** Energy Jobline - **Location:** San Diego, CA, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** 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, Apache Spark, Informatica Cloud, Data Layers, Microsoft Fabric, Pgvector, Data Lineage, Collibra, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 18, 2026 - **Apply:** https://www.energyjobline.com/job/data-architect-azure-databricks-ai-san-diego-31983956 ## About the Role 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.