Albany Beck
Data Architect

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Experienced Data Architect Wanted
We are seeking an experienced Data Architect to provide strategic data leadership and help establish the governance, standards, and architectural foundations for a major data transformation programme at one of our global banking clients. This role is intended to bring senior data expertise into the team, reducing pressure on existing leadership while ensuring data solutions are designed, governed, and approved correctly through the bank's governance processes.
The role is heavily focused on data strategy, governance, architecture, standards, and quality assurance rather than hands-on development.
Key Responsibilities
- Lead the definition and review of enterprise data architecture, data models, and data patterns.
- Establish and embed data governance frameworks, standards, and best practices.
- Review proposed data solutions and ensure alignment with organisational governance requirements.
- Assess tactical and strategic data solutions before presentation to architecture and governance boards.
- Identify existing approved patterns and accelerators that can be leveraged to reduce delivery timelines.
- Support governance approval processes, including engagement with architecture boards, EHC, Data Visas, and other relevant forums.
- Provide QA and oversight across the wider data team, ensuring consistency and adherence to standards.
- Define what “good” looks like from a data management and governance perspective.
- Develop data quality measures, controls, and compliance frameworks.
- Analyse existing data estates and identify gaps against enterprise standards.
- Produce governance assessments, gap analyses, and remediation/treatment plans.
- Guide data extraction and organisation initiatives from legacy platforms into future-state architecture.
- Work closely with business, architecture, engineering, and governance stakeholders to obtain approval and ratification of strategic solutions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Experience
- Extensive experience in Data Governance, Data Management, or Data Architecture leadership roles.
- Strong understanding of enterprise data architecture and modelling practices, including ERDs and conceptual/logical data models.
- Proven experience designing and implementing governance frameworks, standards, and controls.
- Experience presenting solutions to architecture, design, risk, or governance boards.
- Strong stakeholder management skills across technical and non-technical audiences.
- Experience defining data quality standards and governance operating models.
- Ability to evaluate existing data patterns and determine reuse opportunities versus creation of new patterns.
- Experience developing strategic roadmaps and governance-led treatment plans.


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Technical Environment
- Knowledge of environments including:
- Oracle
- SQL-based platforms
- MongoDB
- API-driven architectures
- ETL and data integration tooling
- Legacy-to-modern platform migrations
Desirable Experience
- Exposure to AI and data readiness initiatives.
- Understanding of how structured, governed data enables AI and automation capabilities.
- Experience preparing data estates for future AI-driven solutions.
- Financial Services or Banking experience highly desirable.
Location
- Edinburgh or London
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