Allianz - Senior Databricks & AI Architect
Allianz
Position Overview :We are seeking a visionary Senior Databricks & AI Architect to lead the evolution of our modern data platform and AI roadmap.In this role, you will bridge the gap between complex insurance data domains and cutting-edge AI execution.You will be responsible for designing scalable Spark-based architectures, implementing rigorous FinOps and optimisation strategies, and pioneering Agentic AI workflows to automate high-value insurance processes (e.g., claims, underwriting, and risk assessment).Key Responsibilities : - Design and govern end-to-end data architectures on the Databricks Data Intelligence Platform, ensuring seamless integration with existing insurance ecosystems.- 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.- Own the platform's efficiency, implementing cluster policies, Photon engine optimisations, and cost-attribution models to ensure high performance with a focus on ROI.- Standardise data engineering templates (Medallion architecture) and implement robust data modelling (Star/Snowflake, Vault 2.0) to handle structured and unstructured insurance data.- Translate complex insurance concepts (Premiums, Claims, Actuarial models) into scalable technical schemas and AI logic.- Ensure all designs comply with industry regulations using Databricks Unity Catalog.Required Skills & Experience :- 8+ years in Data Engineering/Architecture, with at least 3+ years of hands-on leadership within the Databricks ecosystem.- Expert-level knowledge of the Spark framework (PySpark/Scala), Delta Lake, and Databricks SQL.- Proven experience building and deploying AI solutions, with a deep understanding of the Agentic AI landscape.- Specific experience in Databricks cost management, instance selection, and performance tuning (Z-Ordering, Liquid Clustering).- Strong background in data modelling and the creation of reusable ETL/ELT templates and frameworks.- Prior experience in the Insurance or FinServ sector is highly preferred.Education & Certifications :- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.- Preferred: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional. (ref:hirist.tech)
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