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
Job source
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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