Senior Databricks & AI Architect/Lead - Only W2 - (JK)

Central Business Solutions Inc
Dallas, TX, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Chatbots Retrieval-Augmented Generation Large Language Models Snowflake Multi-Agent Systems Apache Spark Llamaindex
+6 more
Agentic-AI Data Lakes Pyspark Data Management Automation Anywhere Databricks

Job description

We are seeking a visionary Senior Databricks & AI Architect to lead the evolution of our modern data platform and AI roadmap. You will be responsible for designing scalable Spark-based architectures., * Architectural Leadership: Design and govern end-to-end data architectures on the Databricks Data Intelligence Platform.

  • AI Innovation: Lead the design of emerging AI workflows, specifically focusing on Agentic AI (multi-agent systems), LLM orchestration (LangChain/LlamaIndex), and RAG patterns tailored for insurance policy and regulatory documents.
  • Data Engineering Excellence: Standardise data engineering templates (Medallion architecture) and implement robust data modelling (Star/Snowflake, Vault 2.0) to handle structured and unstructured insurance data.
  • Governance & Security: Ensure all designs comply with industry regulations using Databricks Unity Catalog.

Requirements

  • Experience: 8+ years in Data Engineering/Architecture, with at least 3+ years of hands-on leadership within the Databricks ecosystem.
  • Core Tech: Expert-level knowledge of the Spark framework (PySpark/Scala), Delta Lake, and Databricks SQL.
  • AI/ML Expertise: Proven experience building and deploying AI solutions. Deep understanding of the Agentic AI landscape-moving beyond simple chatbots to autonomous, goal-oriented agents.
  • Data Management: Strong background in data modelling and the creation of reusable ETL/ELT templates and frameworks.

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