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- Tasks: Design and optimise enterprise-grade data solutions for a leading commodities trader.
- Company: Join a major player in the commodities trading sector 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 data modelling required.
The predicted salary is between 36000 - 60000 £ 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.
Key responsibilities include:
- Defining the end-to-end data architecture across the enterprise, covering ingestion, storage, transformation, serving, and consumption layers.
- On-premise placement for data and analytics workloads, with explicit rationale and trade-off analysis.
- Designing and optimising data warehouses and data models (relational, dimensional, and where appropriate, vault or lake-house patterns).
- Evaluating and recommending 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.
- Acting as a senior technical SME through the full project lifecycle: from discovery and design through to build, test, and production handover.
- Providing hands-on technical guidance during implementations: writing proof-of-concept code, troubleshooting issues, and unblocking delivery teams.
- Advising delivery teams on data architecture implications of design decisions, including feasibility, cost, performance, and maintainability.
Required qualifications and experience:
- 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.
- 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.
- Experience in energy trading, commodities, or financial services data environments.
- Familiarity with data governance tooling.
- 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 London employer: Options Group
Contact Detail:
Options Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, including any proof-of-concept code or designs you've worked on. This gives potential employers a tangible sense of your expertise and hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios and challenges. We recommend practising your responses to technical questions and being ready to discuss your thought process behind design decisions and trade-offs.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Enterprise Data Architect. Highlight your hands-on experience with data architectures and any relevant projects you've worked on that align with our needs.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've designed and optimised data solutions, and be ready to discuss your thought process behind those decisions.
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 makes you the perfect fit for our team at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Options Group
✨Know Your Data Architecture Inside Out
Make sure you can confidently discuss various data architecture concepts like data mesh, data fabric, and lake-house patterns. Be prepared to explain how these concepts apply to real-world scenarios, especially in the context of energy trading or commodities.
✨Showcase Your Hands-On Experience
Since this role is very much hands-on, be ready to share specific examples from your past work where you designed and implemented data solutions. Highlight any proof-of-concept code you've written or challenges you've overcome during project lifecycles.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to tackle complex queries on the spot. You might be asked to optimise a query or discuss the trade-offs of different data modelling approaches, so practice articulating your thought process clearly.
✨Understand the Business Context
Familiarise yourself with the commodities trading industry and the specific challenges it faces regarding data management. Being able to connect your technical expertise to business outcomes will show that you understand the bigger picture and can add value beyond just the architecture.