> Markdown version of [/jobs/ext/4216965-senior-databricks-ai-architect-lead-only-w2-jk](https://www.wearedevelopers.com/jobs/ext/4216965-senior-databricks-ai-architect-lead-only-w2-jk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Databricks & AI Architect/Lead - Only W2 - (JK) - **Company:** Central Business Solutions Inc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, Agentic-AI, Data Lakes, Pyspark, Data Management, Automation Anywhere, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.careerjet.com/jobad/usc92886a3410ed5b6420a0080d0cef68b ## About the Role * 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. ## 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.