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Role Overview

We are seeking an experienced Data Solutions Architect to design and govern secure, scalable, and resilient data solutions across modern cloud and analytics platforms. This role is technically led, with a strong emphasis on architecture assurance, security, and delivery within regulated or high‑risk environments.

Key Responsibilities

Solution & Technical Architecture

* Design end‑to‑end data solutions spanning application, data, integration, infrastructure, and security
* Define current‑state, target‑state, and transition architectures with phased migration roadmaps
* Translate functional and non‑functional requirements into robust, compliant solution designs
* Make and clearly articulate technology choices and architectural trade‑offs

Cloud & Data Platforms

* Design solutions on modern cloud data platforms (e.g. Azure Databricks, Microsoft Fabric)
* Apply distributed data processing patterns using Spark‑based technologies
* Align solutions to cloud landing‑zone and enterprise‑scale patterns, including identity and secure connectivity

Architecture Governance & Assurance

* Produce clear, auditable architecture artefacts (HLDs, LLDs, ADRs, options appraisals)
* Act as design authority on complex data programmes
* Support architecture governance forums including design reviews and Architecture Review Boards

Engineering & Delivery

* Work closely with engineers to ensure architecture translates into effective implementation
* Support build‑phase conformance and technical decision‑making
* Apply platform engineering principles including IaC, CI/CD, and DevOps practices

Integration & Security

* Design integrations using APIs, event‑driven, and service‑based patterns
* Ensure solutions meet security, resilience, performance, and availability requirements

Consulting & Stakeholder Engagement

* Engage confidently with client architects, engineers, security, and senior stakeholders
* Provide strong documentation, delivery reporting, and RAID support
* Enable knowledge transfer, capability uplift, and smooth exit or transition planning

Skills & Experience

* Proven experience in technical or solution architecture across modern data platforms
* Strong background in secure and regulated environments
* Hands‑on experience with cloud, distributed processing, and integration patterns
* Excellent communication, documentation, and design‑authority skills

We are representing a well established consumer brand undergoing a major AI transformation initiative.

The organization is designing and standing up a next generation, AI ready data platform on AWS, with Snowflake at the core. They are looking for a professional who will take ownership of the platform as the external advisory engagement transitions, ultimately becoming the internal Data Platform Lead.

This is not a "ticket taking" data engineering role. This is a build, architect, and own mandate.

The business is investing heavily in foundational data capabilities to support:

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GenAI enablement
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Revenue management and pricing optimization
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Marketing analytics
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Retail and consumer insights
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Enterprise data modernization

You would be stepping in at a critical inflection point, helping shape the long term data and AI backbone of the organization.

What You'll Be Doing:

Platform Ownership

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Build and scale ingestion pipelines and core platform foundations
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Own architecture, governance, reliability, and scalability
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Enhance and mature the medallion architecture
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Implement Snowpark based compute models

Engineering Execution

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Develop within Snowflake (Snowpark, Snowpipe, streaming)
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Leverage AWS core data and compute services
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Drive transformations with dbt
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Integrate marketing, retailer, Nielsen, and consumer behavior data sources
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Use Fivetran for ingestion workflows
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Manage infrastructure as code via Terraform
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Maintain version control standards via GitHub

Strategic Impact

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Translate business use cases into scalable platform components
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Advise leadership on what should or should not be built, and why
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Act as the internal SME across Snowflake and AWS data engineering
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Partner with business stakeholders and product owners
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Lead knowledge transfer and transition planning from consulting to in house

This individual will ultimately lead the internal data platform function and collaborate closely with a separate application engineering team.

What We're Looking For

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Strong hands on Snowflake experience, including Snowpark and advanced ingestion patterns
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Deep AWS data platform expertise
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Experience building and scaling enterprise data platforms end to end
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Architecture level thinking, not just pipeline development
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Experience supporting analytics and AI use cases
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Strong stakeholder engagement and communication skills
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Ability to operate independently and define standards





Weekly visits to the office in New York are strongly preferred

Data & AI Platform Architect - Contract

Location: London (Hybrid - 2-3 days per week on-site)
Contract Type: Inside IR35
Duration: 6 Months
Day Rate: £595 per day
Working Pattern: Hybrid
Client: Well‑established Data & AI Consulting Partner

About the Role

We are working with a well‑established Data & AI consulting partner to recruit an experienced Data & AI Solutions Architect for a 6‑month inside IR35 engagement. In this role, you will lead the design and delivery of modern data, analytics, and AI solutions, working closely with stakeholders and small delivery teams to implement cloud-centric architectures that drive real business value.

This is an excellent opportunity for a seasoned architect who thrives in fast‑paced environments and is passionate about shaping impactful, scalable data solutions.

Key Responsibilities

* Lead solution architecture and end‑to‑end delivery across data, analytics, and AI workstreams.
* Support and guide small technical teams through implementation.
* Design cloud-forward architectures using modern data platform technologies.
* Apply strong data management principles throughout the full data lifecycle.
* Contribute to delivery frameworks, technical standards, and solution roadmaps.
* Communicate key concepts in AI, machine learning, and data mining to technical and non-technical stakeholders.
* Collaborate closely with client teams to understand requirements and translate them into actionable technical designs.

About You

You will bring:

* 5+ years' experience in data & analytics and AI solution design and delivery.
* Proven experience leading small teams or workstreams within complex programmes.
* Deep understanding of cloud-centric architecture (Azure, AWS, or GCP).
* Strong grasp of core data management principles and practices across the data lifecycle.
* Solid understanding of CI/CD, DevOps practices, and modern infrastructure approaches.
* Ability to articulate AI, ML, and data mining concepts in a clear and compelling way.
* Experience in public sector or regulated industries (government, healthcare, etc.) is highly desirable.

What's on Offer

* 6‑month inside IR35 contract with competitive £550/day rate.
* Hybrid working model with on‑site presence in London.
* Opportunity to contribute to high-impact client projects with a respected Data & AI partner.
* Collaborative environment where expertise and innovation are valued.

How to Apply

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

What you'll do:
-Lead Azure architecture, strategy, and implementation across customer projects.
-Take responsibility for the technical vision and ensure successful delivery.
-Work closely with customers to understand needs, anticipate challenges, and design practical, future-oriented solutions.
-Mentor and support small-to-medium engineering teams.
-Promote continuous improvement and challenge existing ways of working where needed.
-Host design sessions, workshops, and architecture reviews for technical and non-technical audiences.
-Stay current with Azure developments and help others do the same.

Required:
-A proactive mindset and a strong sense of ownership.
-8+ years of IT experience, including at least 5 years in Azure cloud architecture and delivery.
-Experience leading or mentoring engineering teams.
-Strong customer-facing skills and the ability to work with a range of stakeholders.
-Solid knowledge of Azure core services, IaC, DevOps practices, and security patterns.
-A growth mindset and willingness to learn and improve continuously.
-Strong communication and collaboration abilities.
-Microsoft Azure certifications (e.g., Azure Solutions Architect Expert) are a plus.
-Swedish Speaking (spoken and written)

Key Responsibilities

Data Architecture & Strategy

* Define and evolve enterprise data architecture principles, standards, and models
* Develop data strategy and modelling transition roadmaps, including sequencing and dependencies
* Design canonical, domain, and analytical data models, including shared and reference data patterns
* Support federated data operating models with clear ownership and stewardship
* Drive architectural simplification, innovation, and evolution within governed environments

Governance, Risk & Compliance

* Design data architectures that meet regulatory, security, and compliance requirements
* Embed data governance, quality, metadata, lineage, and auditability by design
* Define data classification and control models supporting traceability and regulatory reporting

Cloud & Platform Architecture

* Translate logical and domain data models into physical cloud implementations
* Design schemas, pipelines, and lakehouse/warehouse patterns on modern cloud platforms
* Apply cloud data integration patterns with awareness of governance, lineage, and access control implications

Migration & Delivery

* Define and support data migration strategies, including source‑to‑target mappings and reconciliation
* Enable phased cutover approaches alongside business‑critical delivery
* Work independently across multiple initiatives, prioritising effectively in complex environments

Stakeholder Engagement

* Partner with business and technology stakeholders to capture requirements and define data products
* Communicate complex data concepts clearly to technical and non‑technical audiences
* Articulate modelling trade‑offs and architectural constraints to support informed decisions

Skills & Experience

* Strong experience in enterprise data architecture and information architecture
* Deep understanding of conceptual, logical, and physical data modelling
* Proven experience shaping data strategy aligned to measurable business value
* Knowledge of modern cloud data platforms (e.g. Databricks, Microsoft Fabric, Spark ecosystems)
* Working knowledge of architecture frameworks (e.g. TOGAF) and relevant data standards

Why Join

This is an opportunity to play a pivotal role in shaping enterprise data foundations, influencing strategy, and enabling trusted, compliant, and scalable data platforms.

What you'll do:
-Design, implement, and optimise complex AWS cloud environments
-Lead cloud‑migration and modernisation programmes
-Establish architectural best practices across teams
-Advise stakeholders on cloud strategy, security, and cost optimisation
-Partner with engineering and DevOps teams to deliver scalable solutions
-Produce clear architectural documentation and guidelines

Required:
-7+ years' experience in cloud architecture with deep AWS expertise
-Strong knowledge of EC2, Lambda, VPC, CloudFormation/Terraform, RDS, ECS/EKS, IAM
-Proven ability to design secure, scalable, highly available systems
-Experience guiding technical decisions and mentoring engineering teams
-Familiarity with CI/CD pipelines and DevOps tooling
-Excellent communication and stakeholder engagement skills
-AWS Solutions Architect Professional certification is a big plus
-Swedish Speaking

Nice to Have:
-Serverless architecture experience
-Container orchestration & microservices knowledge
-FinOps or cost‑optimisation skills

Contract Data Architect - London Market - £700/pd

Please note - this role will require you to work from the Central London office 2-3 days per week. You must be UK based with the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship.

I am working with my London Market broker client, a forward‑thinking organisation modernising how data flows across the insurance value chain. This role sits at the heart of a high-profile broker-side transformation, combining deep London Market expertise with modern data and emerging AI capabilities.

The Opportunity

My London Market broker client is undertaking a strategic data initiative to design a future-state broker data model and clearly define how data integrates across core market and internal systems. The work will directly underpin new digital and AI-enabled capabilities, enabling the broker to offer the London Market something genuinely new in terms of insight, automation, and decision-making.

This is a hands-on architecture role requiring strong engagement with business stakeholders, technology teams, and delivery partners.

Key Responsibilities

* Design and define a broker-centric canonical data model for the London Market
* Map and document data integration flows across broker platforms and market systems (e.g. policy, placement, claims, bordereaux)
* Work closely with business, underwriting, and placement stakeholders to align data structures with real-world broker processes
* Define clear data ownership, semantics, and quality standards
* Support integration patterns and architectural decisions across legacy and modern platforms
* Enable downstream AI and advanced analytics use cases by ensuring data is structured, accessible, and fit for purpose
* Collaborate with engineering and delivery teams to ensure the model is practical, implementable, and scalable

Required Experience

* Proven Data Architect experience within the London Market insurance ecosystem
* Strong understanding of broker operations and market interactions
* Hands-on experience creating enterprise or domain data models
* Experience defining data integration approaches across multiple systems
* Comfortable working in complex, multi-stakeholder environments
* Able to translate between business requirements and technical design
* Experience supporting modern data platforms (cloud, APIs, event-driven or integration layers)

Highly Desirable

* Experience working with emerging AI technologies, advanced analytics, or data products
* Familiarity with London Market modernisation initiatives and digital market infrastructure
* Experience operating in transformation or change programmes

This is a 6 month engagement which offers a day rate of £700/pd Outside IR35.

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Responsibilities:
-Design, architect, and review end-to-end solutions based on AWS services.
-Translate business requirements into robust, scalable technical architectures.
-Provide technical leadership and guidance to development and engineering teams.
-Ensure solutions align with security, performance, cost, and scalability best practices.
-Support cloud migration, modernization, and integration initiatives.
-Produce high-level and detailed architecture documentation.
-Act as a trusted advisor to stakeholders across the organisation.

Required Skills:
-Swedish Speaking.
-Proven experience working as a Solution Architect in complex environments.
-Strong hands-on experience with AWS (e.g. EC2, S3, RDS, Lambda, VPC, IAM, etc.).
-Experience designing cloud-native and hybrid architectures.
-Solid understanding of security, networking, and infrastructure best practices.
-Experience working in Agile / DevOps environments.
-Strong stakeholder management and communication skills.