8+ years of experience in Enterprise Data Architecture, Data Engineering, or Data Platform Modernization.
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 and AI/ML-ready data platforms.
Familiarity with GenAI and vector databases like Pinecone and Qdrant is preferred.
Knowledge of enterprise governance tools such as Microsoft Purview or Informatica Cloud Data Governance.
Proven ability to lead architecture strategy while being hands-on with technical design.
Responsibilities
Design and modernize enterprise-scale data platforms focusing on Azure and Databricks.
Implement data governance frameworks and ensure compliance with security standards.
Develop scalable data pipelines and lakehouse architectures for AI/ML applications.
Collaborate with senior stakeholders to align data architecture with business goals.
Lead the technical design and implementation of data solutions.
Manage metadata and data lineage to enhance data quality and accessibility.
Evaluate and integrate new technologies to improve data architecture.
Benefits
Opportunity for full-time conversion after 3 to 6 months.
Onsite work in Los Angeles, CA or Houston, TX.
Exposure to cutting-edge technologies in data architecture and governance.
Collaboration with senior technology and business stakeholders.
Potential for professional growth in a dynamic industry.
Full Job Description
Job Description Contract to hire: About 3 to 6 months fulltime conversion to our client FTE role.
Location: Onsite at Los Angeles, CAOR 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.
