Data Architect

About the role

We are looking for an experienced data architect to join our team in Chiswick, West London.  The overall purpose of this position is to ensure that Intl.SOS maintains and enhances its market position as the leading provider through the efficient development of product-led, digital-first, client-centric, contemporary and relevant travel risk and critical event management solutions.

This is an excellent opportunity for an experienced data architect to  manage the architecture runway for capabilities/sub-capabilities, driving consistency and excellence in the technical design of product data solutions.  

Key responsibilities

•    Enforce data architectural guidelines and consistency across development teams and services
•    Support established Data Governance and Data Quality frameworks, including tooling, policy enforcement, and stewardship models
•    Ensure robust metadata management, lineage tracking, and data cataloguing using H3S’s business glossaries and modern catalog tools
•    Review and approve data architecture for major features, platforms, and technical initiatives
•    Collaborate with technical leads and DevOps on system scalability, performance, and reliability
•    Ensure data platforms are AI/ML-ready, with scalable infrastructure and clean, well-structured data pipelines
•    Collaborate with data science and analytics teams to enable model deployment, automation, and MLOps best practices
•    Promote innovation in generative AI, predictive analytics, and real-time decision support
•    Align data architecture with security, compliance, and data governance requirements
•    Lead the evolution of technical architecture documentation, models, and decision records
•    Conduct architecture and design reviews with cross-functional teams
•    Guide teams in the adoption of best practices in API design, modularity, cloud-native patterns, and event-driven systems
•    Recommend data management best practices, covering data flows, architecture patterns, retention, archival, and purging strategies
•    Coach and mentor engineers on data design, refactoring, and architectural reasoning

About you

•    12–15 years of experience in data engineering and architecture roles
•    Proven experience designing and scaling enterprise-grade cloud data platforms (AWS preferred)
•    Deep experience with AWS, Databricks, Power Platform, and Redshift (Snowflake a plus)
•    Proficiency in AWS Glue, Qlik Talend, DBT, Airflow, and modern data integration tools.
•    Strong command of Python, SQL, PowerQuery (M), and preferably Scala or PySpark
•    Familiarity with enterprise architecture frameworks (e.g., TOGAF), MLOps, and BI tools like Power BI and QuickSight
•    Exposure to generative AI platforms (e.g., Amazon Bedrock, Anthropic) is a plus
•    Familiarity with infrastructure as code (Terraform), CI/CD practices (Jenkins, GitHub Actions), and observability (Grafana, Kibana)
•    Proficiency in scripting and automation using Bash, Groovy, or equivalent
•    Ability to balance long-term architectural vision with immediate delivery constraints
Required Qualifications 
•    Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Benefits

• Hybrid working: 3 days in the office
• Private health care, dental cover, pension scheme, life insurance
• Discount schemes (Cycle2work, season ticket loans, gym discounts)
• Access to our Employee Assistance & Employee Support Programme
• Access to Chiswick Business Park Enjoy Work events (if based in London)