Data Architect - Active SC - Remote - 6 months
Stealth It
2 days ago
Role details
Contract type
Contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Remote
Tech stack
Amazon Web Services (AWS)
Azure
Databases
Data Architecture
Data Governance
Data Integration
ETL
Data Warehousing
Dimensional Modeling
NoSQL
SQL Databases
Data Lake
Physical Data Models
Data Pipelines
Job description
Job Title:Data Architect Rate: £650 (Inside IR35) Duration: 6 months Location: Remote Clearance: Active SC Stages: 1 Stage
Key Responsibilities
- Design and implement enterprise-level data architecture strategies aligned with organisational goals
- Develop and maintain conceptual, logical, and physical data models
- Define data standards, frameworks, and best practices to ensure consistency and quality
- Collaborate with stakeholders, including business analysts, engineers, and senior leadership, to understand data requirements
- Oversee data integration processes across Legacy and modern platforms
- Ensure compliance with data governance, security, and regulatory requirements
- Support the development of data pipelines, data warehouses, and data lakes
- Provide guidance on data architecture tools, technologies, and methodologies
- Conduct data impact assessments and support system migration or transformation initiatives
Essential Skills & Experience
- Proven experience as a Data Architect in large-scale environments
- Strong knowledge of data modelling techniques (eg, dimensional modelling, ER modelling)
- Experience with cloud platforms such as AWS, Azure, or GCP
- Expertise in database technologies (SQL and NoSQL)
- Familiarity with data integration tools and ETL/ELT processes
- Strong understanding of data governance and data quality frameworks
- Ability to communicate complex technical concepts to non-technical stakeholders
Requirements
- Proven experience as a Data Architect in large-scale environments
- Strong knowledge of data modelling techniques (eg, dimensional modelling, ER modelling)
- Experience with cloud platforms such as AWS, Azure, or GCP
- Expertise in database technologies (SQL and NoSQL)
- Familiarity with data integration tools and ETL/ELT processes
- Strong understanding of data governance and data quality frameworks
- Ability to communicate complex technical concepts to non-technical stakeholders