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Lead Data Architect

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: ASA Recruitment
Contract position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 735 GBP Daily GBP 735.00 DAY
Job Description & How to Apply Below
Location: City of Edinburgh

ASA Recruitment’s client, a Public Sector organisation in Edinburgh are currently looking to recruit a Lead Data Architect, for an initial 10 month contract (with potential extensions) on a rate £735/day inside of IR35 (based on experience). This is a hybrid role with 2 days onsite per week in Edinburgh City Centre and 3 days remote.

Responsibilities
  • Design, govern and oversee data models and metadata systems, ensuring alignment with business needs
  • Provide strategic leadership on data architecture across the programme, supporting the overall architecture lead and data architect vision
  • Ensure systems are designed in accordance with agreed data architecture principles and standards
  • Champion data architecture practices, standards and ways of working across teams
  • Manage data-related risks, resolve complex data issues, and drive continuous improvement
  • Ensure effective integration of data across products, services and external partners
Essential Skills & Experience
  • Data Strategy & Architecture:
    Ability to define and deliver a scalable data architecture strategy aligned to programme objectives and external standards (e.g. ONS).
  • Data Modelling & Standards:
    Strong expertise in developing and governing data models, ensuring consistency and interoperability across systems and other government partners.
  • Data Integration & Flow:
    Experience designing end-to-end data flows, enabling seamless data collection, processing, and dissemination at scale.
  • Leadership & Governance:
    Proven leadership in complex programmes, establishing data governance, quality standards, and effective stakeholder engagement
Desirable Skills
  • Advanced architectures:
    Data mesh, data fabric, real‑time/event‑driven systems
  • Modern tools:
    Databricks, Snowflake, Kafka, dbt
  • Cloud engineering maturity: CI/CD, Infrastructure as Code, Data Ops, containers
  • AI/ML enablement:
    Supporting MLOps and advanced analytics platforms
  • Analytics expertise: BI tools and semantic data layers
  • Certifications & frameworks: TOGAF, DAMA, cloud certifications
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