Job Description
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:
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8+ years of experience in Enterprise Data Architecture, Data Engineering, or Data Platform Modernization.
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Strong hands-on expertise in Azure Databricks, ADLS Gen2, Microsoft Fabric, Synapse, Azure Data Factory, and Spark.
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Deep understanding of enterprise data modeling, integration, metadata management, data lineage, governance, and security.
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Experience designing lakehouse architectures, AI/ML-ready data platforms, semantic layers, and scalable data pipelines.
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Experience with GenAI, vector databases (Pinecone, pgvector, Qdrant), and AI-driven data architectures preferred.
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Knowledge of enterprise governance tools such as Microsoft Purview, Collibra, Informatica Cloud Data Governance or Alation.
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Proven ability to lead enterprise architecture strategy while remaining hands-on with technical design and implementation.
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Strong communication skills and experience collaborating with senior technology and business stakeholders.
Industry Preference: Financial Services experience preferred, but not mandatory.