Senior Data Architect at FSP Consulting Services Limited

✨ The Stack take on this FSP Consulting Services Limited job

• 🏢 FSP Consulting Services Limited has 3 jobs here, 3 with visa sponsorship see all
• 📊 6 Software Architect jobs in the United Kingdom in the last 60 days see them
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask FSP Consulting Services Limited if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Define, own and evolve enterprise-grade data architectures that are scalable, maintainable and aligned with client goals.
- Lead design of cloud-native data platforms, semantic layers, integration patterns and medallion-style data models.
- Establish and enforce governance standards: modelling conventions, metadata, lineage and cataloguing.
- Advise senior stakeholders and act as a trusted technical partner on data strategy and architecture decisions.
- Produce reference architectures, blueprints and reusable components to drive consistent delivery and enable engineering teams.
- Keep abreast of emerging platform technologies and promote best practices across projects.

Requirements:
- Extensive experience delivering large-scale data architectures and cloud-native platforms (Databricks, MS Fabric, AWS or similar).
- Strong data modelling knowledge (Kimball, 3NF, Data Vault) and practical experience with medallion architectures.
- Familiarity with metadata, unity-catalog-like solutions, data governance and lineage tooling.
- Experience with orchestration, CI/CD, DevOps and infrastructure-as-code to support repeatable deployments.
- Ability to communicate architecture decisions clearly and to guide cross-functional teams and stakeholders.
- Consultancy experience and domain knowledge (finance, telecoms, retail, healthcare) are advantageous but not required.

Responsibilities

Define, design, and govern enterprise-grade data architectures while leading the development of cloud-based data platforms. Act as a trusted technical partner to clients to shape data strategy and ensure architectural consistency across complex environments.

Requirements

Requires extensive experience in defining large-scale data architectures and deep expertise in cloud-native platforms like Databricks and AWS. Candidates must possess strong knowledge of data modelling methodologies and a commitment to delivering high-quality, scalable data solutions.

Key skills

• Data architecture — in 39 other listings on The Stack
• Cloud-native data platforms — in 3 other listings on The Stack
• MS Fabric — in 1 other listing on The Stack
• Databricks — in 46 other listings on The Stack
• AWS — in 802 other listings on The Stack
• Data modelling — in 24 other listings on The Stack
• Kimball — in 1 other listing on The Stack
• Data Vault — in 5 other listings on The Stack
• Medallion architecture
• Unity catalog
• Data governance
• CI/CD
• DevOps
• Infrastructure as code
• Analytics engineering
• Metadata management

On The Stack (as of 2026-11-05)

• FSP Consulting Services Limited has 2 other listings on The Stack, 2 of them marked as offering visa sponsorship.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.

Frequently asked questions about FSP Consulting Services Limited

Is this Senior Data Architect role still open?

It was posted on 2026-09-10. Listings more than 30 days old may no longer be active, so check FSP Consulting Services Limited's site before applying.

Does FSP Consulting Services Limited offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on FSP Consulting Services Limited's site.

Where is this role located?

The listing gives the location as United Kingdom. It is marked on-site.

What skills does this role ask for?

The listing names: Data architecture, Cloud-native data platforms, MS Fabric, Databricks, AWS, Data modelling, Kimball, Data Vault, Medallion architecture, Unity catalog, Data governance, CI/CD, DevOps, Infrastructure as code, Analytics engineering, Metadata management.