At a Glance
- Tasks: Lead the design and governance of data architecture, ensuring alignment with business needs.
- Company: Public Sector organisation in Edinburgh with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Opportunity to work with modern tools and advance your career in data.
- Why this job: Make a significant impact on data strategy while working in a dynamic environment.
- Qualifications: Proven experience in data architecture, leadership, and data integration.
The predicted salary is between 60000 - 80000 £ per year.
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 of £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, DataOps, containers.
- AI/ML enablement: Supporting MLOps and advanced analytics platforms.
- Analytics expertise: BI tools and semantic data layers.
- Certifications & frameworks: TOGAF, DAMA, cloud certifications.
We think you need these skills to ace Lead Data Architect
Problem-Solving Skills
SQL
Communication Skills
Data Governance
Python
Automation
Data Engineering
