We're looking for an experienced Enterprise Data Architect to lead the design and evolution of our clients data architecture across their key business domains. You'll work on major transformation programmes, shaping the data strategy and enabling unified, scalable, and secure solutions.
We are looking for candidates that have very strong experience across Retail, Hospitality, Hotels or customer focussed service industries, working in an end client environment, not candidates from a Consultancy background.
PLEASE NOTE: The client requires candidates to be on site in London 3 days per week - this is not negotiable. Please do not apply if you cannot be in London 3 days pw.
Key Responsibilities
- Design conceptual, logical, and physical data models for customer, product, HR, and finance data.
- Collaborate across business and tech teams to deliver cohesive data architecture.
- Lead architecture reviews and guide cloud-based data engineering initiatives.
- Champion governance, quality frameworks, and GenAI integration.
Thought Leadership:
- Provide architectural leadership across key business areas, advocating for best practices in data strategy and governance.
- Lead the definition and execution of enterprise data strategy in partnership with other architects and data leaders.
- Define and drive improvements in data governance, ingestion optimisation, and exploration processes.
- Design and implement real-time data quality frameworks, including proactive anomaly detection and alerting mechanisms.
Tech Stack & Tools
- ETL: Microsoft Fabric, Databricks
- Analytics: Power BI, SAP Analytics Cloud, Azure Synapse
- Governance: Azure Purview
- AI Tools: GenAI platforms
What We're Looking For
- Strong experience in enterprise data architecture and transformation programmes.
- Expertise in distributed data domains, migrations (e.g. SAP Marketing Cloud to Emarsys), and GDPR compliance.
- Familiarity with SAP, Oracle, Workday, Microsoft Dynamics, and E-Commerce platforms.
- Strategic thinker with experience creating data strategies and capability-aligned roadmaps.
If you're ready to drive enterprise-level data transformation and make a tangible impact, we'd love to hear from you.