Job description

Contract to hire: About 3 to 6 months fulltime conversion to our client FTE role. Location: Onsite at Los Angeles, CA OR Houston TX 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. Key Requirements: • 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 preferred. • 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 preferred, but not mandatory.

Requirements

Must-haves

Contract to hire: About 3 to 6 months fulltime conversion to our client FTE role.
Location: Onsite at Los Angeles, CA OR Houston TX
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 .
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.

Nice-to-haves

Experience with GenAI, vector databases (Pinecone, pgvector, Qdrant), and AI-driven data architectures preferred.
Industry Preference: Financial Services experience preferred, but not mandatory.

Application prep

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Keywords to mirror

azureaiml

Platform: zoho-recruit
Effort: medium