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- Tasks: Shape and govern data architecture to drive impactful insights and innovation.
- Company: Join International SOS, a leader in global health and security solutions.
- Benefits: Competitive salary, private healthcare, birthday leave, and career growth opportunities.
- Why this job: Make a real difference in protecting lives through data-driven decision-making.
- Qualifications: Experience in data architecture and cloud platforms, with strong communication skills.
- Other info: Dynamic workplace with a focus on collaboration and innovation.
The predicted salary is between 60000 - 80000 £ per year.
At International SOS, we are in the business of protecting and saving lives. For 40 years, we have delivered customised security risk management, health, and wellbeing solutions to organisations worldwide. With a presence in 90 countries and a team of nearly 13,000 experts, we provide 24/7 support to help organisations fulfil their Duty of Care responsibilities. Now, we’re looking for talented individuals to join our team and make a difference.
About The Role
This Data Architect position is a pivotal strategic role responsible for defining, governing and evolving the enterprise data architecture across International SOS's platforms and products. This role ensures that data assets are well-modelled, governed and positioned to deliver actionable insight - driving International SOS's mission through scalable, trusted and high-quality data. You will shape modern data platforms, models and standards that enable analytics, operational excellence and AI readiness across the organisation.
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 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
- Develop and maintain enterprise-wide data architecture roadmap translating strategic data ambitions into actionable deliverables
- Drive the adoption of data architecture principles and standards across engineering and product teams through review boards and governance forums
- Conduct architecture assessments and identify opportunities to rationalise, consolidate, or modernise the data estate
- Coach and mentor engineers and data practitioners on data design, modelling best practices and architectural trade-offs
- Produce and maintain high-quality architecture documentation including data architecture decisions records (ADRs), data flow diagrams and domain maps
- Collaborate with data science and analytics teams to enable effective model deployment, feature engineering, and ML data readiness
- Promote a culture of data literacy and data-driven decision-making across the organisation
About You
- Solid experience in data architecture, data engineering or a closely related role
- Proven technical expertise in data modelling methodologies (Kimball/Lnmon), Data Vault 2.0
- Experience of designing enterprise-grade cloud platforms (AWS preferred) (Redshift, S3, Glue, Lake Formation, Athena)
- Databricks and snowflake are an advantage
- Expertise in data warehousing and lakehouse technologies (e.g., Delta Lake, Apache Iceberg)
- Strong understanding of ETL/ELT, CDC, event streaming technologies (e.g., Kafka/Kinesis) and API-based integrations
- Experience operating enterprise data governance programmes, including data stewardship, policy frameworks and data quality management
- Knowledge of MDM principles and familiarity with GDPR / CCPA
- Familiarity with analytics platforms such as Power BI or Amazon QuickSight and exposure to Gen AI Platforms
- Experience or enterprise architecture frameworks such as TOGAF
- Able to communicate complex architectural concepts clearly and influence diverse technical and non-technical stakeholders
Benefits
- Competitive Starting Salary
- Opportunities for development and career progression
- A day’s leave for your birthday with the option to purchase additional annual leave
- Private healthcare, dental cover, pension scheme, life insurance, paid volunteering day
- Subsidised staff cafeteria and free tea, coffee and fruit
- Discount schemes (Cycle2work, season ticket loans, gym discounts)
- Access to Employee Assistance & Employee Support Programme
- Access to Chiswick Business Park
- Enjoy Work events
By joining International SOS, you will contribute to a global network dedicated to protecting people and organisations. We offer a dynamic and respectful workplace where expertise, innovation, and collaboration drive our success. International SOS has been awarded as a Top Employer in the UK by the Top Employer’s Institute (TEI) for 2025.
Start your journey with us today. Apply now!
Data Architect in London employer: International SOS
Contact Detail:
International SOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to current employees at International SOS on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data architecture knowledge. Be ready to discuss your experience with cloud platforms and data governance frameworks, as these are key for the role.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've driven data literacy and decision-making in previous roles. This will highlight your alignment with International SOS's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling methodologies and cloud platforms like AWS. We want to see how your skills align with our mission at International SOS.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in data warehousing and ETL/ELT processes. We’re looking for someone who can communicate complex concepts clearly, so don’t hold back on showcasing your knowledge!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Let’s get started on this journey together!
How to prepare for a job interview at International SOS
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data modelling methodologies like Kimball and Data Vault 2.0. Brush up on your knowledge of cloud platforms, especially AWS services like Redshift and S3, as these will likely come up during the interview.
✨Showcase Your Governance Experience
Be prepared to discuss your experience with data governance frameworks and how you've enforced data quality in previous roles. Highlight any specific tools or policies you've implemented that align with the responsibilities of the Data Architect position.
✨Communicate Clearly and Confidently
Practice explaining complex architectural concepts in simple terms. You’ll need to influence both technical and non-technical stakeholders, so being able to communicate effectively is key. Consider using examples from your past work to illustrate your points.
✨Demonstrate Your Collaborative Spirit
This role involves a lot of collaboration with various teams. Be ready to share examples of how you’ve worked with engineers, data scientists, and product teams to drive data architecture initiatives. Emphasise your ability to mentor others and promote a culture of data literacy.