AI-Driven Solution Architect — Snowflake Data Platform

RELX International; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Elsevier in the United Kingdom is seeking a Solution Architect to lead the design and evolution of an enterprise Snowflake-based data warehouse and AI-enabled capabilities. You will collaborate with embedded engineering teams to deliver secure, scalable platform solutions and governance across data, AI, and integration.

The role involves defining architecture roadmaps, API-led integration, and real-time data processing with strict adherence to regulatory and corporate standards.

Qualifikationen

• Significant experience in software development, solution architecture or data-platform architecture.
• Strong experience designing Snowflake data warehouse solutions across the Snowflake ecosystem.
• Understanding of operational technology data, dependencies, and end-to-end enterprise data flows.
• Knowledge of data modelling and schema design (Snowflake/DBT).
• Experience with AWS architecture (EC2, RDS, S3, Lambda) and familiarity with Azure.

Aufgaben

• Lead the architecture and design of Snowflake-based data warehouse solutions and dependent systems.
• Develop platform capabilities including real-time ingestion, AI-driven insights and API-led integration.
• Design data structures and interfaces for natural-language querying and GenAI use cases.
• Support modern data-engineering methods and tooling adoption across teams.
• Define inter-system data flows, roadmaps and governance standards.
• Ensure solutions comply with policy standards across data warehousing and AI tooling.

Kenntnisse

Solution architecture

Snowflake design

API design

Real-time ingestion

Data modelling

CI/CD

Agile delivery

Governance

Stakeholder management

Cloud platforms

AWS

Tools

Snowflake

DBT

SqlDBM

Tableau

GitHub

Jira

CI/CD tooling

Jobbeschreibung

Elsevier in the United Kingdom is seeking a Solution Architect to lead the design and evolution of an enterprise Snowflake-based data warehouse and AI-enabled capabilities. You will collaborate with embedded engineering teams to deliver secure, scalable platform solutions and governance across data, AI, and integration.

The role involves defining architecture roadmaps, API-led integration, and real-time data processing with strict adherence to regulatory and corporate standards.