At a Glance
- Tasks: Shape data architecture and governance to support business objectives.
- Company: Join a global firm with a commitment to innovation and collaboration.
- Benefits: Enjoy a hybrid work model, continuous learning, and philanthropy opportunities.
- Other info: Work with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on data management and governance in a dynamic environment.
- Qualifications: Experience in data architecture and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Data Architect to join Orbis and help shape the long-term direction of our data architecture, ensuring that data is structured, governed and managed in a way that supports Orbis’ business, operational and investment objectives.
Reporting to the Head of Architecture, you will define how data should be organised, governed and used across the firm. You will provide architectural leadership across data domains, data flows, integration patterns and information management practices, while owning and evolving Orbis’ data governance framework. This role combines strategic thinking with practical delivery engagement. You will work across technology and business teams to improve the coherence, quality and reusability of data, support the evolution of the firm’s data landscape, and ensure that data is managed as a valuable enterprise asset. You will define target states, standards and guardrails, while working closely with stakeholders and delivery teams to ensure these are applied pragmatically and effectively.
The successful candidate will help Orbis to harness further value from data and contribute to decisions about our future architecture through close collaboration with architects, business stakeholders, platform engineering and delivery teams to ensure data architecture is aligned with broader enterprise, application and technology direction.
- Culture: We are committed to our Core Values. We encourage intellectual curiosity and individualism as well as collaboration across different areas of the business. We seek to hear our people’s voices – whether quiet or loud. Sharing ideas and challenging the status quo are commonplace.
- Autonomy: While guidance and support are provided, team members own their work and projects.
- Growth opportunities: We support our people in continuous learning and development.
- Agile environment: We are committed to providing a work environment that balances the needs of our clients; the needs of our teams; and the personal needs, commitments, and interests of our people.
- Philanthropy: Our people can contribute to society in a unique and personal way, through various philanthropy opportunities and programmes.
Define and evolve Orbis’ enterprise data architecture, including principles, standards, patterns and target states. Establish, own and continuously improve the data governance framework, including roles, responsibilities, policies, standards and controls. Develop and maintain architectural views of key data domains, flows and assets across the organisation. Work with business and technology stakeholders to improve data ownership, stewardship and accountability. Define standards for data modelling, metadata, lineage, master and reference data, and data quality management. Provide architectural guidance on how data should be sourced, integrated, stored and consumed across operational and analytical use cases. Support delivery teams, peer architects and platform engineering to ensure solutions align with enterprise data architecture, governance expectations and broader technology direction. Work collaboratively across architecture and engineering teams to ensure data architecture supports enterprise platforms, shared capabilities and cross-functional initiatives. Identify opportunities to simplify the data landscape, reduce duplication and improve consistency across platforms, applications and reporting environments.
About you: You are a pragmatic and credible data architect who can balance strategic direction with practical delivery. You are comfortable working across business, architecture and technology teams, defining standards and target states while influencing stakeholders to apply them sensibly. You have the credibility and judgement to shape and embed effective data governance, with clear ownership, stewardship and accountability across the firm. You build strong working relationships with peer architects, platform engineering and delivery teams, bring structure and clarity to complex environments, and are motivated by improving the quality, coherence and value of data across the organisation.
- Skills & Experience:
- Significant experience in data architecture, information architecture or a closely related role.
- Proven experience of performing a Data Architect role within an asset management environment.
- Strong understanding of the data landscape and challenges within asset management, including the need to support investment, client, operational, regulatory and enterprise data.
- Strong understanding of enterprise data architecture concepts, including data domains, conceptual and logical modelling, integration patterns, lineage, metadata and lifecycle management.
- Practical experience establishing, implementing and evolving data governance frameworks, including ownership models, stewardship, policies, standards, controls and decision forums.
- Experience working across business, architecture and technology stakeholders to define data responsibilities, improve governance and support delivery.
- Strong understanding of data quality management and the practical mechanisms needed to improve trust in data.
- Experience working across complex application, integration and data environments, with the ability to identify opportunities to simplify and improve coherence.
- Experience collaborating with enterprise, solution and domain architects, as well as platform and engineering teams, to align data architecture with wider business and technology direction.
- Ability to produce clear architectural artefacts, principles and standards that guide delivery in a practical way.
- Strong communication, facilitation and influencing skills, with the ability to work effectively with senior stakeholders.
- Structured, analytical and pragmatic approach to problem-solving.
- Ability to work independently while building strong collaborative relationships across teams.
Instructions for application: To complete your application, please submit your resume.
The Company: We are a global firm with offices across eight countries, over 400 employees and more than $50 billion in assets under management. But those numbers don’t define Orbis. It’s our values, how we do things day-by-day, and how we add value for our clients that define us. Our investment philosophy is fundamental, long-term and contrarian. As contrarian investors, we aim to take a different perspective, and this filters into everything we do. To invest differently, you need to think differently. This is encouraged by having teams of people with different backgrounds, experiences and ways of thinking.
Data Architect and Governance in London employer: Orbis Investment Management Limited
Contact Detail:
Orbis Investment Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect and Governance in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate, but someone who truly gets what they’re about.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills align with their needs. Keep it concise and engaging – you want to leave them wanting more!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you note can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Data Architect and Governance in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume speaks directly to the Data Architect role. Highlight relevant experience and skills that align with our data governance framework and architecture principles. We want to see how you can contribute to our mission!
Showcase Your Achievements: Don’t just list your responsibilities; share your successes! Use specific examples of how you've improved data quality or governance in previous roles. This helps us understand the impact you've made and what you can bring to Orbis.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Orbis Investment Management Limited
✨Know Your Data Architecture
Make sure you brush up on your knowledge of data architecture concepts, especially those relevant to asset management. Be ready to discuss how you've applied these principles in past roles and how they can be beneficial for Orbis.
✨Understand the Governance Framework
Familiarise yourself with data governance frameworks and be prepared to share your experiences in establishing and evolving them. Highlight specific examples where you've improved data ownership and accountability in previous positions.
✨Showcase Your Collaboration Skills
Orbis values collaboration across teams, so be ready to discuss how you've worked with various stakeholders in the past. Share examples of how you’ve influenced decisions and aligned data architecture with broader business goals.
✨Prepare for Practical Scenarios
Expect to tackle practical scenarios during the interview. Think about how you would approach simplifying complex data landscapes or improving data quality. Having a structured problem-solving approach will impress your interviewers.