Data Architect - Insurance Data

Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together.

Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

The Data Architect is a hands-on technical leader responsible for designing the data architecture, models, standards, and patterns that enable scalable, trusted, and reusable enterprise data solutions at Gallagher.

You will lead the architecture and design of complex data initiatives spanning operational, analytical, master, and reference data. This includes defining end-to-end data flows, developing conceptual and logical data models, establishing integration and modeling patterns, evaluating solution designs, and ensuring data platforms are designed for scalability, reliability, governance, security, and long-term maintainability.

This is an individual contributor role with technical leadership responsibilities and no direct people management
. You will work closely with data engineers, solution and enterprise architects, product teams, analytics, data science, governance, business stakeholders, and technology teams to translate business capabilities and data requirements into practical enterprise data architectures.

• Design end-to-end data architectures spanning source systems, ingestion, transformation, integration, master data, data lakes, warehouses, and downstream consumption.
• Develop and maintain conceptual and logical data models that accurately represent business domains, entities, relationships, and data requirements.
• Define reusable data architecture and modeling patterns that promote consistency across domains and technology platforms.
• Establish clear source-to-target architectures and data flows, including system-of-record, mastering, distribution, and consumption patterns.
• Guide the design of analytical, operational, master, and reference data solutions based on business and technical requirements.
• Define architecture for structured, semi-structured, and unstructured enterprise data.
• Ensure designs support scalability, interoperability, performance, reliability, security, and maintainability.

• Lead architecture and technical design for complex, cross-domain data initiatives.
• Translate business requirements and capabilities into practical and scalable data architectures.
• Establish and promote standards for data architecture, modeling, integration, metadata, lineage, naming, documentation, and design.
• Conduct architecture and design reviews and ensure solutions align with enterprise standards and target-state architecture.
• Provide architectural direction to data engineering teams throughout design and implementation.
• Identify architectural risks, dependencies, technical debt, and opportunities to simplify or modernize existing solutions.
• Influence technical decisions across teams without direct management responsibility.
• Mentor engineers and other technical professionals on data architecture and modeling practices.

• Defi…