At a Glance
- Tasks: Design and develop innovative data architectures for financial products that meet customer needs.
- Company: Join SIX, a leader in transforming financial markets with a unique blend of tradition and innovation.
- Benefits: Enjoy flexible work models, personal development opportunities, and a collaborative environment.
- Other info: Diverse and inclusive workplace that values your unique background and ideas.
- Why this job: Shape the future of finance while working with cutting-edge data technologies.
- Qualifications: 5+ years in data architecture with strong skills in relational databases and API design.
The predicted salary is between 72000 - 88000 £ per year.
SIX drives the transformation of financial markets. What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.
The Financial Information division within SIX Group is a global provider of financial data and analytics to the global financial services industry. This role sits within the Business-led Product Development division and focuses on business data architecture, ensuring our financial data products meet customer, commercial and regulatory needs. The role partners closely with IT Architecture as a key stakeholder but is not part of the IT function.
We are looking for an experienced data architect to work within the Financial Information Product Delivery group to provide data architecture leadership across the firm to ensure our data products deliver value to our customers and they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents.
What You Will Do
- Design, develop and maintain the technology-agnostic, business-aligned canonical/conceptual data models for Financial Information, defining class definitions, standards and association semantics.
- Provide data architecture expertise to all delivery teams to ensure we build data products that meet customer expectations, can be readily maintained and enhanced, and we have a core foundation on which we can readily build new revenue generating products.
- Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules.
- Partner with stakeholders across the business to translate complex data concepts and requirements into robust data products that customers want to purchase whilst contributing to the architectural governance process.
- Support the evolution of data distribution models, including API-first delivery and AI data access enablement.
What You Bring
- Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf).
- Strong understanding of metadata and lineage management.
- 5+ years of experience, or demonstrated delivery against requirements in data modelling, data architecture, or a closely related discipline within financial services with proficiency in UML data modelling tools such as Sparx EA (ideally), Erwin, PowerDesigner or similar.
- Strong understanding of the financial data domain: securities reference data, corporate actions, market data, and regulatory classifications, fixed income would be highly desirable.
- Understanding of API design principles (REST, GraphQL) and schema evolution strategies for backward compatibility is essential. Direct experience of making data commercially available to AI agents is desirable.
- Fluent in English (both verbal & writing), German is a plus. It is essential that the person in this role is able to clearly communicate complex concepts and data structures to a wide range of stakeholders.
If you have any questions, check out our FAQ page or call Anthony Mills at . Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.
What We Offer
- Flexible Work Models: We trust our employees and offer a work environment that is well-balanced, productive and fosters success.
- Personal Development: You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.
- Agile Working Methods: Whether through scrum or design thinking, we solve exciting tasks together in teams.
Senior Data Architect employer: SIX Group Services Ltd.
SIX Group Services Ltd. is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to mentorship opportunities and the chance to lead a talented team, all while contributing to strategic initiatives that drive meaningful impact in the financial sector. The company's commitment to differentiation and client alignment ensures that your work will be both rewarding and significant.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
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We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SIX Group Services Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SIX Group Services Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SIX Group Services Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SIX Group Services Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
