At a Glance
- Tasks: Design and optimise enterprise-grade data solutions for a leading commodities trader.
- Company: Join a major player in the commodities trading industry with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work in a flat organisational structure.
- Why this job: Be the technical authority shaping impactful data architecture on a global scale.
- Qualifications: Deep experience in data architecture and hands-on expertise in SQL and cloud platforms.
The predicted salary is between 48000 - 72000 € per year.
As an Enterprise Data Architect for a major commodities trader, you will be the architectural 'backbone' and technical authority for a market-leading portfolio of data/analytics products. This is very much a hands-on architect role: you will design enterprise-grade data solutions and guide their delivery and impact globally, working with stakeholders ranging from engineering leads to energy traders. You will be comfortable being the 'go to' and able to roll your sleeves up in any given situation.
The Role:
- Architecture & Design
- Define the end-to-end data architecture across the enterprise, covering ingestion, storage, transformation, serving, and consumption layers.
- Make/document clear decisions on cloud vs. on-premise placement for data and analytics workloads, with explicit rationale and trade-off analysis.
- Design and optimise data warehouses and data models (relational, dimensional, and where appropriate, vault or lake-house patterns).
- Evaluate and recommend BI technologies (e.g. Power BI, Tableau, Qlik, in-house charting) on a use-case basis, defining when each is appropriate and when it is not.
- Technical / Thought Leadership
- Act as a senior technical SME through the full project lifecycle: from discovery and design through to build, test, and production handover.
- Provide hands-on technical guidance during implementations: write proof-of-concept code, troubleshoot issues, and unblock delivery teams.
- Advise delivery teams on data architecture implications of design decisions, including feasibility, cost, performance, and maintainability.
Essential Qualifications
- Architecture
- Deep, demonstrable experience defining, developing, and evolving data architectures in complex, multi-domain organisations.
- Proven hands-on expertise in relational and dimensional data modelling, with the ability to justify modelling choices and explain trade-offs to others.
- Experience designing for both batch and real-time/streaming data patterns.
- Understanding of data mesh, data fabric, data warehouse and lake-house concepts and when they do (and don't) apply.
- Hands-On Technical Depth
- Working knowledge of SQL at an advanced level; comfortable writing, reviewing, and optimising complex queries and DDL.
- Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning.
Desirable Experience
- Experience in energy trading, commodities, or financial services data environments (or Big Tech).
- Familiarity with data governance tooling (e.g., Collibra, Purview, Alation).
- BSc in Computer Science, Information Management, or related discipline (or equivalent practical experience) from a Russell Group university.
- Experience with DataOps or MLOps practices and how they intersect with data architecture.
- Prior experience working in a flat or lean organisational structure where the architect is also involved with the implementation.
Enterprise Data Architect in England employer: Options Group
As an Enterprise Data Architect at our leading commodities trading firm, you will thrive in a dynamic and collaborative work culture that values innovation and hands-on expertise. We offer competitive benefits, opportunities for professional growth, and the chance to make a significant impact on global data solutions, all while working in a vibrant location that fosters creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Enterprise Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Include case studies that highlight your hands-on experience with cloud platforms and data modelling. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL, data warehousing, and BI technologies. We want to see how you can roll your sleeves up and tackle real-world challenges.
✨Tip Number 4
Don’t just apply; follow up! After submitting your application through our website, send a friendly email to express your enthusiasm for the role. It shows initiative and keeps you on their radar.
We think you need these skills to ace Enterprise Data Architect in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Enterprise Data Architect. Highlight your experience with data architectures, cloud platforms, and any relevant projects that showcase your hands-on skills. We want to see how you fit into our world!
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 your background aligns with our needs. Don’t forget to mention specific technologies or methodologies you’ve worked with that relate to the job description.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in SQL and cloud data platforms. We love seeing proof of your hands-on experience, so if you've got examples of code or projects, mention them!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll get your application directly into our system. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Options Group
✨Know Your Data Architecture Inside Out
Make sure you can confidently discuss your experience with defining and evolving data architectures. Be prepared to explain your choices in relational and dimensional data modelling, and how they apply to the role. Brush up on concepts like data mesh and lake-house patterns, as these will likely come up in conversation.
✨Showcase Your Hands-On Skills
This role is very much about being hands-on, so be ready to demonstrate your technical depth. Bring examples of complex SQL queries you've written or optimised, and if possible, share any proof-of-concept code you've developed. This will show that you can roll your sleeves up and get involved in the nitty-gritty.
✨Understand the Business Context
Familiarise yourself with the energy trading and commodities sector. Understanding the specific challenges and opportunities in this field will help you tailor your responses and show that you're not just a tech expert, but also someone who understands the business implications of data architecture decisions.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions where you'll need to evaluate trade-offs between cloud vs. on-premise solutions or recommend BI technologies for specific use cases. Practise articulating your thought process clearly, as this will demonstrate your ability to think critically and make informed decisions under pressure.
