Our Client is seeking an Enterprise Data Architect .

Duties Include:

• Define and lead the enterprise data architecture strategy, standards, and roadmap across data platforms, analytics, AI, and cloud ecosystems
• Architect scalable enterprise data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and cloud-native technologies to support business intelligence, analytics, machine learning, and AI use cases
• Design and implement modern data architectures including data lakes, data warehouses, data mesh, streaming, and real-time data integration patterns
• Establish enterprise data governance, metadata management, lineage, security, privacy, and access control standards across structured and unstructured data assets
• Lead the architecture and optimization of data ingestion, transformation, and data product pipelines using Databricks, Spark, and cloud-native services
• Develop enterprise data models, canonical data structures, and integration patterns that promote data consistency, interoperability, and reuse across business domains
• Drive the adoption of DataOps, MLOps, and modern engineering practices to improve scalability, reliability, and operational efficiency of enterprise data platforms
• Partner with business stakeholders, data product teams, enterprise architects, cybersecurity, and governance organizations to align data initiatives with business strategy and regulatory requirements
• Evaluate and recommend emerging technologies, tools, and architectural patterns that enhance enterprise data and analytics capabilities
• Architect data foundations that enable advanced analytics, machine learning, Generative AI, Agentic AI, and intelligent automation use cases
• Design and govern enterprise AI data patterns including vector search, Retrieval Augmented Generation (RAG), semantic data access, and knowledge management architectures