Responsibilities
Lead the architecture and design of Snowflake-based data warehouse solutions and dependent systems
Develop next-generation platform capabilities, including real-time ingestion, AI-driven insights and API-led integration
Design data structures and interfaces that enable natural-language querying and GenAI use cases
Support the adoption of modern data-engineering methods and best-in-class tooling
Integrate data toolchains with internal systems using API-driven approaches, including MCP
Establish secure, standardised best practices across data warehousing, integration and AI tooling
Define inter-system data flows, architectural roadmaps and governance standards
Ensure solutions comply with Elsevier and RELX policies and standards
Problem-solve, involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex system issues
Drive technical direction and architecture evolution via reviews, roadmaps and on-floor leadership
Requirements
Significant experience in software development, solution architecture or data-platform architecture
Strong experience designing Snowflake data warehouse solutions and working across the Snowflake ecosystem
Understanding of operational technology data, technology assets, dependencies, relationships and end-to-end flows within a large enterprise
Solution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema design
AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure
Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP
Familiarity with Tableau, GitHub, Jira, CI/CD and Agile delivery
Strong knowledge of architectural governance, requirements gathering and end-to-end data-flow design
Non-Technical requirements
Strong organisational, project planning and time management skills, with the ability to manage multiple priorities, complex projects and change initiatives across diverse teams.
Excellent problem-solving abilities, including identifying issues, assessing risks, developing solutions and coordinating resources to drive successful outcomes.
Excellent communication, presentation and stakeholder management skills, with the ability to translate complex technical concepts into clear, concise messaging for audiences ranging from engineers to senior executives.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
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