Data Architect
Listed on 2026-03-05
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IT/Tech
Data Engineer, Data Warehousing, Data Analyst, Data Security
We are seeking an experienced and pragmatic Data Architect to shape and evolve the firm’s data ecosystem across system integration, operational data flows, and our enterprise data warehouse. This is a pivotal role within the data and architecture team, whose mission is to transform how the firm manages, integrates, and leverages data.
You will be a hands‑on architect, able to design integration patterns, define conceptual and logical data models, and guide how data moves from source systems into trusted analytical layers. You will work closely with Boomi developers, the data engineer, Power BI developers, and external system integrators to ensure solutions are robust, scalable, and aligned with business processes.
As we implement Boomi Master Data Hub, you will play a key role in shaping our master data domains, data quality rules, and stewardship processes, ensuring master data becomes a trusted asset across the firm.
You will also serve as a core contributor to the Data Governance Committee, helping to define data standards, business definitions, ownership models, and end‑to‑end lineage to support firm‑wide data quality and compliance objectives.
The ideal candidate combines strong architectural thinking with the ability to inspect real data, map processes, and translate business needs into coherent data flows and models.
Please note, this role can be based either from our London or Cardiff offices.
Key Responsibilities- Define and maintain conceptual, logical, and high‑level physical data models across operational systems, MDM domains, and the data warehouse.
- Lead the architectural design for our Boomi Master Data Hub implementation.
- Design integration patterns and data flows between key systems (Finance, HR, CRM, PMS, DMS, etc.), ensuring alignment with business processes.
- Own the firm’s data architecture blueprint, ensuring consistency across ingestion, transformation, modelling, and consumption layers.
- Evaluate and define when to use Boomi Integration, Boomi MDM, Azure Data Factory/Fabric pipelines, direct APIs, OData feeds, or event‑driven approaches.
- Guide the extension of the data warehouse by identifying new subject areas, conformed dimensions, SCD strategies, and data structures.
- Provide architectural oversight for modelling within Power BI semantic models (star schemas, SCD patterns).
- Engage with business stakeholders to understand processes, data requirements, and information flows, translating them into architectural artefacts.
- Partner with Boomi developers on integration and MDM design while maintaining an architecture‑led approach.
- Work with system integrators delivering Boomi MDM, CRM or PMS components, ensuring alignment with firm architectural standards.
- Support the data engineer and SIs in implementing warehouse pipelines and semantic layers consistent with architectural designs.
- Ensure alignment between operational data, MDM structures, and analytical requirements Master Data Management.
- Establish and maintain master data ownership and stewardship models for Boomi MDM.
- Define and oversee data quality rules, validation logic, and remediation processes.
- Govern the lifecycle of master data entities such as clients, matters, employees, HR records, financial dimensions, etc.
- Ensure mastered data is delivered consistently to operational and analytical systems.
- Act as a pivotal member of the Data Governance Committee, providing architectural leadership across data standards business term definitions and data quality management.
- Translate committee outputs into actionable architectural and technical artefacts.
- Ensure governance decisions are embedded into the design of integrations, pipelines, and data models.
- Promote a culture of data stewardship and accountable data ownership across the firm.
- Maintain architectural documentation including integration diagrams, models, lineage maps, interface definitions, and MDM artefacts.
- Contribute to and enforce data governance, modelling, and naming standards.
- Ensure solutions align with GDPR, Info Sec requirements, and broader regulatory obligations.
- Support data security by defining classification…
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