Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: The Database Architect role involves designing and building robust data systems, including databases and data lakes, while implementing integrations across platforms like Elastic, Oracle, and ServiceNow. This position is crucial for driving data architecture and migration efforts for essential business systems. The role requires a skilled professional with proven experience in data architecture and system design. The working arrangement includes two days onsite in London and three days remote.
Key Responsibilities:
- Design and build scalable data architectures, including databases and data lakes.
- Architect and implement integrations between Elastic, Oracle, ServiceNow, and other enterprise platforms.
- Lead data migration strategies and execution across legacy and modern systems.
- Develop data models, schemas, and pipelines to support analytics and operational needs.
- Ensure security, performance, and scalability in all architecture components.
Key Skills:
- Proven experience as a data or enterprise architect with hands-on expertise in Elastic, Oracle, and ServiceNow.
- Strong knowledge of database design, data lake architecture, and system integration.
- Experience leading end-to-end system and data migrations.
- Familiarity with modern data stack tools and cloud platforms is a plus.
- Excellent communication and collaboration skills.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Rate: Inside IR35
Duration: 12 months + extension
Location: 2 days onsite (London), 3 days remote
We are looking for a skilled Database Architect to design and build robust data systems, including databases, data lakes, and enterprise integrations across platforms such as Elastic, Oracle, and ServiceNow. This role will be central to driving data architecture, system design, and migration efforts for critical business systems.
Key Responsibilities:
- Design and build scalable data architectures, including databases and data lakes.
- Architect and implement integrations between Elastic, Oracle, ServiceNow, and other enterprise platforms.
- Lead data migration strategies and execution across legacy and modern systems.
- Develop data models, schemas, and pipelines to support analytics and operational needs.
- Ensure security, performance, and scalability in all architecture components.
Requirements:
- Proven experience as a data or enterprise architect with hands-on expertise in Elastic, Oracle, and ServiceNow.
- Strong knowledge of database design, data lake architecture, and system integration.
- Experience leading end-to-end system and data migrations.
- Familiarity with modern data stack tools and cloud platforms is a plus.
- Excellent communication and collaboration skills.