Data Architect

Job title: Data Architect
Location: London (Hybrid)
Contract: 6 Months (Potential for Extension)
Start Date: ASAP

About the Client
Our client is transforming the future of their industry by replacing cigarettes with innovative, smoke-free alternatives. They are using technology, science, and data to accelerate a global shift toward a smoke-free world. It's a fast-paced, forward-thinking environment - ideal for someone who is strategic, curious, and ready to drive large-scale change.

The Role
We're seeking an experienced Data Architect to lead the design and implementation of enterprise data architecture that supports analytics, AI, and business transformation. You'll act as the bridge between suppliers, technology partners, and internal delivery teams, translating business needs into scalable, data-driven solutions.
You'll engage at a senior operational level, work independently, and collaborate across multiple teams - providing clear architectural direction and justified decisions that shape the company's data future.

Key Responsibilities

Define and implement enterprise data architecture standards, frameworks, and best practices.
Develop conceptual and logical data models to support analytics, data warehousing, and integration.
Translate business requirements into robust data designs that align with enterprise strategy.
Bridge communication between external suppliers and internal teams, ensuring consistent delivery.
Lead data architecture initiatives for AI integration, governance, and scalability.
Engage with senior stakeholders to influence data strategy and operational priorities.
Work autonomously with minimal guidance while maintaining transparency and collaboration.
Justify architectural decisions with strong reasoning and business alignment.
Core Skills & Experience

Proven experience as a Data Architect in a large-scale or enterprise environment.
Expertise in data modeling (relational, conceptual, and logical) and data warehousing (Kimball/Inmon).
Strong SQL skills and familiarity with Snowflake.
Hands-on experience with SAP PowerDesigner or similar modeling tools.
Working knowledge of TOGAF, LeanIX, or enterprise architecture frameworks.
Understanding of Master Data Management (MDM), data catalogs (e.g., Atlan), and data quality frameworks.
Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments.
Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools.
Awareness of AI and Machine Learning integration concepts, including prompt engineering.
Who You Are

A strategic thinker who connects technical architecture with business value.
Confident operating at senior stakeholder level and influencing key decisions.
Collaborative, articulate, and able to lead discussions across diverse teams.
Self-driven and capable of delivering results independently.
Excited about leveraging data and AI to transform how organizations work.
What's in It for You

Opportunity to shape data strategy for a global transformation program.
Work on cutting-edge technologies across data, AI, and analytics.
Hybrid working model in a dynamic, fast-paced environment.
Chance to make a real impact on a business reinventing its future