At a Glance
- Tasks: Lead data architecture projects and design innovative data models for enterprise solutions.
- Company: Join a forward-thinking company focused on data-driven strategies.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Hybrid work model available; must be eligible to work in the UK.
- Why this job: Make a real impact by shaping data strategies and governance in a dynamic environment.
- Qualifications: 12+ years in data architecture with strong Oracle database skills.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Data Architect for a contract engagement based in the UK. This is a senior role for someone who brings a strong breadth of data architecture capability — from enterprise data strategy and data modelling through to data governance and platform design — and who can operate effectively across both business and technical domains.
The successful candidate will have a solid background in relational database technology, with particularly strong hands-on experience in Oracle, gained through a career rooted in data and application development. They will be expected to lead with data thinking, bring structure and rigour to complex data challenges, and deliver architecture that is pragmatic, scalable, and fit for purpose.
Key Responsibilities- Define and evolve the enterprise data architecture, ensuring it supports current business needs and longer-term strategic objectives.
- Design conceptual, logical, and physical data models across OLTP, analytical, and hybrid workloads.
- Establish data architecture standards, reusable patterns, and best practices across the data estate.
- Lead architecture reviews and assessments, identifying risks, technical debt, and opportunities for improvement.
- Produce clear, well-structured architecture artefacts: ERDs, data flow diagrams, data dictionaries, and architecture decision records.
- Design and govern complex relational data models — both normalised and denormalised — appropriate to the workload and performance requirements.
- Develop dimensional models (star schema, snowflake) to support reporting, analytics, and data warehousing needs.
- Define master data structures, reference data frameworks, and data lineage across interconnected systems.
- Work alongside development and analytics teams to ensure data models translate correctly into implementation.
- Contribute to and help shape the organisation's broader data strategy, including data platform evolution and data quality improvement programmes.
- Define and embed data governance standards: ownership, lineage, classification, naming conventions, and retention policies.
- Ensure data architecture decisions support data security, privacy, and regulatory compliance requirements.
- Champion data quality at the design stage, embedding controls and validation into data architecture from the outset.
- Apply strong relational database expertise — particularly in Oracle — to validate, review, and guide technical implementation of data solutions.
- Bring working knowledge of SQL and PL/SQL to architecture reviews, performance discussions, and data design validation.
- Advise development teams on data access patterns, query performance, indexing strategy, and efficient data processing approaches.
- Support integration design by defining clean, well-governed data interfaces between systems and platforms.
- Engage confidently with senior business and technology stakeholders, translating data requirements into architecture recommendations.
- Present data architecture proposals and decisions clearly, adapting communication style to technical and non-technical audiences alike.
- Collaborate with project managers, solution architects, data engineers, and business analysts across the delivery lifecycle.
- Act as a trusted adviser on data matters, providing guidance that balances strategic vision with practical delivery constraints.
- 12+ years of experience in data architecture, data modelling, or closely related disciplines.
- Strong enterprise data modelling skills — logical, physical, relational, and dimensional across OLTP and analytical domains.
- Solid data governance experience: lineage, metadata management, data quality frameworks, and classification.
- Proven track record of defining and delivering data architecture in large, complex enterprise environments.
- Strong hands-on experience with Oracle database technology, including PL/SQL, query optimisation, and data design.
- Good understanding of Oracle internals — execution plans, indexing, partitioning, and performance considerations — sufficient to guide and validate development teams.
- Experience producing high-quality architecture documentation and presenting to senior stakeholders.
- Excellent communication and stakeholder management skills across technical and business audiences.
- Familiarity with data warehousing methodologies and patterns (Kimball, Inmon, Data Vault).
- Exposure to data catalogue or metadata management tooling (e.g., Collibra, Informatica, or similar).
- Knowledge of cloud data platforms and hybrid data architecture approaches.
- Awareness of integration patterns and data exchange design (e.g., API-led, event-driven, or batch).
- Experience in Agile or SAFe delivery environments.
- A natural data thinker — someone who instinctively approaches problems through the lens of data structure, flow, and quality.
- Technically credible and confident engaging with development teams, while equally comfortable at the strategic level.
- Pragmatic and delivery-oriented — able to balance architectural ideals with the practical realities of a fixed-term engagement.
- Self-sufficient and proactive; able to make an immediate contribution with minimal onboarding.
- Strong collaborator with the interpersonal skills to align stakeholders and teams around shared data decisions.
This is a contract role for a fixed duration of 5 months, based in the UK. A hybrid working arrangement may be available. Candidates must hold the right to work in the United Kingdom and be available to commence at short notice.
Note: This role requires a Data Architect with genuine breadth across data strategy, modelling, and governance, supported by strong hands-on Oracle and relational database experience.
Data Architect / BI Architect in London employer: Experion Technologies
Join a forward-thinking organisation that values innovation and collaboration, where your expertise as a Data Architect will be instrumental in shaping enterprise data strategies. With a strong commitment to employee growth, we offer a dynamic work culture that encourages continuous learning and development, alongside the flexibility of hybrid working arrangements. Located in the UK, this role provides an opportunity to engage with senior stakeholders and tackle complex data challenges in a supportive environment that champions data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / BI Architect in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Experion Technologies before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Architect / BI Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Experion Technologies, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Experion Technologies, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Experion Technologies’s attention and show the tangible impact of your work.
How to prepare for a job interview at Experion Technologies
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Experion Technologies.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Experion Technologies.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Experion Technologies.
