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
Junior

Job 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

Apply for this position