Data Architect
Talent International
Leeds, UK
1 day ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£169,000.0 - £182,000.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Cloud Computing
Databases
Data Architecture
Data Governance
Extract Transform Load (ETL)
Data Security
Middleware
Machine Learning
Systems Integration
UML
Enterprise Data Management
+8 more
Data Ingestion
Archimate
Data Strategy
Core Data
Data Analytics
Enterprise Integration
Data Management
Data Pipelines
Job description
- Enterprise Data Platform Evolution: Lead the end-to-end architectural design and formal governance approval for core data and analytics platforms. Deliver initial stabilization followed by iterative enhancement across data ingestion, system integration, transformation, exploitation, and data security.
- Intelligent Automation: Lead the technical architecture and governance sign-off for a new intelligent automation platform designed to trial, scale, and productionize data-driven frontline operational improvements.
- Strategic SME Oversight: Provide subject matter expertise on enterprise-wide unified data platform initiatives, ensuring alignment with domain-specific requirements and long-term data strategy.
- Full Lifecycle Architecture Delivery: Partner closely with delivery teams to guide architectural solutions from discovery, concept, and prototyping through to deployment and live operation.
- Governance and Standards: Ensure designs strictly adhere to established architecture principles, target-state patterns, tech radars, and public sector compliance standards.
Requirements
- Proven Data Architecture Delivery: Deep experience architecting scalable data platforms covering complex ETL/ELT pipelines, warehousing/lakes, data governance, and secure data exploitation.
- Multi-Environment Architecture: Demonstrable track record designing architectures across on-premise, cloud, and hybrid infrastructuresincorporating networking, security, presentation, middleware, databases, and enterprise integration.
- Intelligent Automation and Advanced Analytics: Practical architectural knowledge of intelligent automation, machine learning enablement, or advanced analytics integration in production environments.
- Translating Complex Requirements: Proven capability to translate intricate business and service-design requirements into robust technical blueprints with clear, traceable lineage for diverse stakeholders.
- Delivery Frameworks: Extensive background collaborating with multidisciplinary delivery teams across Agile, Waterfall, and hybrid delivery models.
- Architecture Modeling: Strong proficiency using standard architecture modeling tools, notations (e.g., ArchiMate/UML), and documentation frameworks to present designs for technical governance boards.
- Leadership and Mentorship: Ability to lead technical discussions, advise senior leadership, and mentor engineering and architecture peers.
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