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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.

About the Role

On behalf of our client, [Client Company Name], we're hiring a Senior BI Architect to design, govern, and scale their business intelligence ecosystem. You'll own the technical vision for how data is modeled, warehoused, and delivered to the business - turning raw data into trusted, decision-ready insight. This is a high-impact role for someone who thrives at the intersection of data architecture, analytics engineering, and stakeholder strategy.

What You'll Do

* Design and own the enterprise BI architecture, including data warehouse/lakehouse structures, semantic layers, and reporting frameworks
* Define and enforce data modeling standards (dimensional modeling, star/snowflake schemas, medallion architecture) to ensure consistency and performance across BI assets
* Lead the selection, implementation, and governance of BI tools and platforms (e.g., Power BI, Tableau, Looker) and their integration with the broader data stack
* Architect and lead migrations to Microsoft Fabric, including OneLake, lakehouses/warehouses, Data Factory pipelines, and Power BI semantic models
* Design solutions that remain cloud-agnostic where appropriate, ensuring architecture isn't unnecessarily locked to a single vendor and can integrate across AWS, Azure, and GCP data sources
* Partner with data engineering to design scalable, reliable data pipelines that feed BI systems
* Establish data governance practices - access controls, data quality standards, metadata management, and documentation
* Translate business requirements into scalable technical solutions, working closely with analysts, product, and executive stakeholders
* Mentor BI developers and analysts on architecture best practices, performance tuning, and self-service enablement
* Evaluate emerging BI/analytics technologies and make recommendations to keep the architecture future-proof
* Own performance optimization for large-scale dashboards, semantic models, and queries
* Drive self-service analytics adoption through well-governed, reusable data models

What You'll Bring

* 7+ years of experience in business intelligence, data architecture, or analytics engineering, including prior BI development experience
* Proven track record architecting enterprise-scale BI solutions from the ground up
* Hands-on experience leading multiple end-to-end migration projects onto Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Factory, Power BI semantic models), including planning cutover strategy and minimizing disruption to existing reporting
* Deep expertise in dimensional modeling and modern data warehouse/lakehouse design
* Cloud-agnostic mindset - comfortable architecting solutions that span or move between AWS, Azure, and GCP rather than being tied to a single ecosystem
* Advanced proficiency with Power BI (DAX, semantic modeling) and working knowledge of other major BI platforms (Tableau, Looker)
* Strong SQL skills and familiarity with ELT/ETL tooling (e.g., dbt, Data Factory, Fivetran, Airflow)
* Experience with data governance, security, and role-based access frameworks
* Excellent communication skills - able to translate between technical architecture and business needs
* Experience mentoring or leading technical teams

Nice to Have

* Experience migrating off legacy platforms (e.g., Synapse, SSAS, Snowflake, Redshift, BigQuery) onto Fabric
* Experience with Python or scripting for data automation
* Familiarity with CI/CD for analytics (version-controlled BI development, Fabric deployment pipelines)
* Background in a specific industry vertical (finance, retail, healthcare, SaaS, etc.)
* Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Power BI, Snowflake SnowPro, AWS/GCP data certifications)

About the Engagement

We are looking for an experienced Microsoft Fabric Architect to join us on a freelance basis to lead the design and delivery of our enterprise data platform. This is a hands-on contract role, ideal for an independent consultant who can hit the ground running and take ownership of critical architecture decisions from day one.

You will be embedded within our Data & Analytics team, working alongside internal engineers, BI developers, and senior stakeholders to deliver a robust and scalable Microsoft Fabric environment within an agreed timeframe.



Platform Architecture & Design

* Define and document the end-to-end Microsoft Fabric architecture including OneLake, Lakehouses, Warehouses, Data Pipelines, and Semantic Models.
* Establish workspace strategy, capacity planning, and governance frameworks tailored to the organisation's needs.
* Assess and lead migration of existing Azure data assets (Synapse, ADF, ADLS, Power BI Premium) to Microsoft Fabric.
* Produce architecture decision records (ADRs), solution design documents, and technical roadmaps.



Essential stack

* 5+ years in data architecture or senior data engineering, with recent hands-on Microsoft Fabric experience.
* Demonstrable experience delivering Microsoft Fabric solutions including Lakehouses, Warehouses, Pipelines, Dataflows Gen2, and Fabric notebooks.
* Strong background in Azure data services: Synapse Analytics, ADLS Gen2, Azure Data Factory, Azure Databricks.
* Proficient in SQL, PySpark, and Python for data engineering and transformation.
* Experience with medallion / lakehouse architecture and dimensional data modelling.
* Solid Power BI architecture knowledge including Direct Lake and semantic model design.
* Comfortable working in a DevOps / Agile environment with Git-based deployments and CI/CD pipelines.
* Proven ability to deliver independently with minimal supervision in a contract setting.
* Strong documentation skills and the ability to produce clear technical artefacts.

Role Overview:
As a Senior Solution Architect, you'll play a key role in shaping and delivering scalable, secure, and high-performing cloud solutions. You'll work closely with engineering teams, stakeholders, and business leaders to define architecture strategy and ensure best practice across AWS environments.

Key Requirements:

-Proven experience as a Senior Solution Architect in enterprise environments.
-Strong expertise across AWS services (e.g. EC2, Lambda, S3, RDS, VPC, etc.).
-Solid DevOps background - CI/CD pipelines, automation, infrastructure as code (e.g. Terraform, CloudFormation).
-Experience designing scalable, resilient cloud architectures.
-Strong understanding of cloud security and governance.
-Ability to work closely with development and operations teams.
-Excellent stakeholder communication skills.
-Swedish Speaking.

Nice to Have:

-Experience with containerisation (Docker/Kubernetes).
-Prior experience in large-scale digital transformation programmes.
-AWS certifications (e.g. Solutions Architect Professional).

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.