Data Architect
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We are seeking a Data Architect to help drive an insurance client's data transformation program. This role combines business leadership with hands-on technical execution, ensuring delivery of scalable insurance data platforms.
RESPONSIBILITIES
- Lead data architecture and platform design on Azure Databricks + Unity Catalog, ensuring scalability, governance, and performance.
- Develop and optimize data pipelines (dbt, Delta Live Tables, Spark) for actuarial, claims, reference, and other data.
- Design and implement data models for claims (paid, incurred, case reserves, exposures), enabling actuarial reserving, financial reconciliation, and regulatory reporting, with support for incremental vs. cumulative structures.
- Guide and help engineering team and client on best practices: CI/CD, version control, testing, DevOps pipelines.
- Mentor and coordinate data engineers, analysts, and offshore delivery teams.
- Ensure data quality, lineage, and governance across the platform.
- Partner with actuaries and business SMEs to validate models, KPIs, and reporting outputs.
- Drive orchestration & automation (Prefect, Azure DevOps) for reliable production workflows. Act as technical escalation point and ensure successful delivery of transformation roadmap.
SKILLS
- Strong background in data architecture & engineering on Azure Databricks (Spark, Delta Lake, Unity Catalog).
- Hands-on experience with dbt, Delta Live Tables, Prefect, Azure DevOps CI/CD.
- Knowledge of actuarial data structures (triangles, claims, exposures, reserving).
- Ability to bridge business and technology, working with senior stakeholders.
- Strong leadership, communication, and delivery management skills.
NICE TO HAVE
- Background in reinsurance or insurance finance.
- Knowledge of actuarial methods and reporting frameworks.
- Experience with advanced analytics/ML for claims and reserving.
Seniority level
Director
Employment type
Full‑time
Job function
Information Technology, Analyst, and Product Management
Manufacturing
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