Data Architect: Azure, Databricks & AI

Posted 25 Days Ago
Be an Early Applicant
San Diego, CA, USA
In-Office
Senior level
Big Data • Information Technology • Analytics • Business Intelligence
The Role
Design and modernize enterprise-scale data platforms using Azure, Databricks, Microsoft Fabric, Synapse, and Spark. Lead data architecture strategy, modeling, integration, governance, metadata, lineage, security, lakehouse design, semantic layers, scalable pipelines, and AI/ML-ready architectures. Collaborate with senior business and technology stakeholders while remaining hands-on with technical design and implementation. Experience with GenAI, vector databases, and financial services is preferred.
Summary Generated by Built In
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.



Skills Required

  • 8+ years of experience in enterprise data architecture, data engineering, or data platform modernization
  • Hands-on expertise with Azure Databricks, ADLS Gen2, Microsoft Fabric, Synapse, Azure Data Factory, and Spark
  • 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
  • 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
  • Experience with Generative AI, vector databases, and AI-driven data architectures
  • Knowledge of Microsoft Purview, Collibra, Informatica Cloud Data Governance, or Alation
  • Financial services industry experience
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The Company
HQ: Torrance, CA
168 Employees
Year Founded: 2008

What We Do

Numentica is a consulting firm specializing in software product development, business intelligence, data management, data analytics, AI, and cloud services, focusing on digital transformation.

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