Data Architect - Remote - 6 months - £650 Inside
Stealth It
3 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
API
Amazon Web Services (AWS)
Azure
Data Architecture
Data Governance
ETL
Data Sharing
Data Systems
Data Warehousing
Enterprise Architecture Framework
Metadata
Meta-Data Management
Data Streaming
Data Lake
Data Lineage
Data Management
Job description
- Develop and maintain enterprise-level data architectures and models supporting the organisation's strategic data vision.
- Design high-level and detailed data solutions to enable data sharing, integration, analytics, and reporting.
- Define and promote data standards, principles, patterns, and governance across the organisation.
- Collaborate with product owners, engineers, business analysts, and security teams to ensure data solutions are scalable, secure, and user-centred.
- Lead data architecture activities across major programmes, ensuring alignment with enterprise architecture frameworks and relevant digital service standards.
- Provide expert guidance on data management, metadata, data quality, data lineage, and data life cycle practices.
- Contribute to the design and evolution of cloud-based data platforms (eg, AWS, Azure).
- Conduct impact assessments, evaluate solution options, and ensure architectural decisions balance business needs and technical constraints.
- Support the adoption of modern data technologies-data streaming, APIs, data lakes, warehouse solutions, MDM, and semantic layers.
- Champion a data-driven culture and help teams make intelligent, compliant use of organisational data assets.
Requirements
- Strong expertise in data architecture, data modelling (conceptual, logical, physical), and data integration patterns.
- Experience designing large-scale data solutions within complex or regulated environments.
- Hands-on knowledge of cloud data technologies (AWS/Azure), data warehouses, data lakes, streaming technologies, and ETL/ELT frameworks.
- Solid understanding of data governance, data standards, metadata management, and data quality principles.
- Ability to create and communicate architectural artefacts for both technical and non-technical audiences.
- Experience working in agile, multidisciplinary teams.
- Knowledge of security and privacy considerations, including data protection legislation (eg, GDPR)
