Data / Integration Architect (Insurance)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data / Integration Architect (Insurance) in Israel.

We are seeking a highly skilled Data / Integration Architect to drive innovative data integration projects within the insurance domain. In this role, you will design and implement ETL pipelines, integrate data with existing systems via APIs, and contribute to Proof of Concept initiatives leveraging AI-assisted code generation. You will play a critical role in defining technical requirements, structuring backlogs, and ensuring clarity before implementation. Working in a collaborative, multidisciplinary environment, you will help streamline processes and build scalable, robust data solutions. The position offers the opportunity to combine technical expertise with strategic insight, shaping data architecture that directly impacts business outcomes. Ideal candidates thrive in dynamic, innovative settings and are motivated to solve complex integration challenges.

Accountabilities

• Designing and building ETL processes, including data ingestion using Microsoft Fabric or similar platforms.
• Integrating ETL outputs with existing systems, such as the Merlin platform, through APIs.
• Supporting AI-assisted code generation initiatives and Proof of Concept development.
• Contributing to analytical discovery work and backlog definition to ensure clear, well-structured tasks.
• Collaborating with engineering and cross-functional teams to translate technical requirements into actionable implementation plans.
• Ensuring data architectures are scalable, reliable, and aligned with enterprise-level standards.
  
  

Requirements

The ideal candidate will have a combination of technical expertise and domain knowledge in insurance:

• Proven experience as a Data Architect, Integration Architect, or Senior Engineer.
• Background or experience in the insurance industry.
• Strong experience designing ETL pipelines and data integration processes.
• Proficiency with Microsoft Fabric or similar modern data platforms.
• Hands-on experience with APIs and system integrations.
• Strong analytical skills with the ability to structure technical requirements clearly.
• Excellent communication skills and ability to collaborate in multidisciplinary teams.
• Extra Points:
• Experience with AI-assisted development tools or AI Proof of Concepts.
• Experience designing data architectures for enterprise environments.
• Familiarity with cross-functional project workflows and collaborative backlogs.
  
  

Benefits

This role offers a flexible, rewarding package to support professional growth and work-life balance:

• Competitive contractor compensation paid in US dollars.
• Fully remote work, enabling collaboration from anywhere with a reliable internet connection.
• Opportunities to work on innovative, high-impact data integration projects in the insurance sector.
• Exposure to emerging AI-assisted development tools and Proof of Concept initiatives.
• Collaborative and flexible environment fostering professional growth and innovation.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.