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Lead Data Architect
Job in
City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listed on 2026-07-06
Listing for:
ASA Recruitment
Contract
position Listed on 2026-07-06
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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
- 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
- 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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