Data & AI Architect

• Azure and/or AWS experience.

First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich

Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting‑edge technological solutions and support to Zurich's local and global business units.

In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.

If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.

What Can You Expect?

We are seeking a highly motivated and skilled Data & AI Architect to join our international Group Technology organization.

In this role, you will be responsible for designing and technically leading new and enhancing existing data & AI solutions, making sure they run in a robust and performant manner. Solutions will be designed for both local and global customers, working mostly with cloud-based solutions in both AWS and Azure.

You will proactively expand your expertise in both existing and new functionalities, along with best practices in the data and AI space, applying these learnings in your daily job.

And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked.

• Solution Design & Delivery
• Design end-to-end solution architectures (As-Is and To-Be) for data and AI products, platforms, and projects
• Evaluate architecture options and technology choices against established standards and patterns
• Reuse existing components, patterns, and platform services to ensure consistency and accelerate delivery
• Data & AI Solution Support
• Provide architectural guidance for data and AI use cases
• Collaborate with product, project, and platform teams to ensure solutions are scalable and aligned with enterprise standards
• Contribute to Architecture Board reviews and architecture decision processes
• Implementation Guidance & Impact Analysis
• Translate high-level designs into detailed technical specifications to support implementation
• Assess architecture impacts of proposed changes, including risks, dependencies, and downstream effects
• Provide effort estimations for architecture activities to support planning and prioritisation
• Documentation & Standards
• Produce and maintain architecture documentation, including Architecture Specification Documents (ASDs)
• Contribute to the definition and evolution of architecture patterns, standards, and best practices
• Collaboration & Practices
• Ensure alignment with IT approval processes and governance requirements
• Participate in architecture communities and cross-functional collaboration forums

Work alongside experts in various technological domains.

Enhance Your Skills With Real-world Experience.

Contribute to a team that values your input and creativity.

What Makes You a great Fit?

While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team.

As a Data & AI Architect your skills and qualifications will ideally include:

• Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• Experience architecting data & AI solutions.
• Data modelling experience with techniques such as 3rd normal form, data vault and dimensional modelling.
• Experience with data pipeline tools, especially one or more of Azure Data Factory, SSIS, Informatica, Databricks, Snowflake and AWS Glue.
• Database and lake experience with one or more of Azure SQL, DB2, Azure Data Lake, Databricks lakehouse, Snowflake, AWS RDS or similar.
• Azure and/or AWS experience.
• Experience with AWS Bedrock Agentcore and/or Azure AI Foundry is a plus.
• Knowledge of CI/CD.
• Knowledge of Infrastructure as code solutions such as Terraform is an advantage.
• Knowledge of containers and container orchestration such as AKS / EKS is an advantage.
• Knowledge of APIs is an advantage