Data Architect - AWS | Azure Cloud

Lucid Support Services Ltd
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Data Architecture
Data Governance
Data Integration
ETL
Data Systems
Data Warehousing
Metadata
Meta-Data Management
NoSQL
SQL Databases
Data Streaming
Google Cloud Platform
Data Strategy
Data Lake
Data Management
Physical Data Models
Data Pipelines

Job description

We are seeking an experienced Data Architect to lead the design, modelling, and governance of data solutions across a complex, modern data landscape. You will provide authoritative guidance on data architecture strategy, shape enterprise -level data models, and work closely with engineering, analytics, and business teams to ensure data is structured, governed, and delivered effectively., * Define and maintain conceptual, logical, and physical data models across multiple domains

  • Design scalable data warehouse and data lake architectures
  • Provide architectural leadership across data platforms, integration patterns, and data flows
  • Work with engineering teams to implement robust ETL/ELT and streaming data pipelines
  • Shape data architecture for cloud platforms (AWS, Azure, GCP)
  • Ensure data solutions align with governance, metadata, and master data management principles
  • Collaborate with technical and non -technical stakeholders to translate business needs into data designs
  • Contribute to data strategy, standards, and best practices across the organisation

Requirements

This role is ideal for someone who combines deep technical expertise with strong communication skills and the ability to influence stakeholders at all levels., * Proven experience as a Data Architect, Senior Data Engineer, or Data Modeller

  • Strong expertise in data modelling (conceptual, logical, physical)
  • Experience designing data warehouses and data lakes
  • Advanced SQL skills and strong understanding of relational and NoSQL databases
  • Experience with cloud data platforms (AWS, Azure, and/or GCP)
  • Knowledge of data integration, ETL/ELT, and streaming architectures
  • Solid understanding of data governance, metadata management, and master data concepts
  • Excellent communication skills with both technical and non-technical audiences

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