Technical Architect at HCLTech

HCL Technologies Limited; Sydney; On-site; AUD 150,000 - 230,000; Full time

Job summary

HCL Technologies Limited is seeking an Senior Data Architect to lead end-to-end data architectures on the Databricks platform, embedding governance and scalable data models for insurance data. You will drive AI workflow design, including Agentic AI and LLM orchestration, while optimizing performance and cost.

Responsibilities include standardising ETL/ELT templates, implementing Star/Snowflake schemas, and aligning domain concepts such as premiums and claims with robust schemas and AI logic.

Qualifications

• 8+ years in Data Engineering/Architecture.

Responsibilities

• Lead end-to-end data architectures on the Databricks platform.

Tools

Databricks

LangChain

LlamaIndex

Photon Engine

Unity Catalog

Job description

Job Summary

Architectural Leadership: Design and govern end-to-end data architectures on the Databricks Data Intelligence Platform, ensuring seamless integration with existing insurance ecosystems. 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. Databricks FinOps & Performance: Own the platform’s efficiency. Implement cluster policies, Photon engine optimisations, and cost-attribution models to ensure high performance with a focus on ROI. 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. Domain Alignment: Translate complex insurance concepts (Premiums, Claims, Actuarial models) into scalable technical schemas and AI logic. Governance & Security: Ensure all designs comply with industry regulations using Databricks Unity Catalog.

Key Responsibilities

Experience: 8+ years in Data Engineering/Architecture, with at least 3+ years of hands‑on leadership within the Databricks ecosystem.

Skill Requirements

• 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.
• FinOps Mastery: Specific experience in Databricks cost management, instance selection, and performance tuning (Z‑Ordering, Liquid Clustering).
• Data Management: Strong background in data modelling and the creation of reusable ETL/ELT templates and frameworks.
• Insurance Domain: Prior experience in the Insurance or FinServ sector is highly preferred; you must understand the nuances of policy‑centric data.