Enterprise Data Architect
London (4 days onsite 1 working from home)
Up to 120,000 + Benefits
I'm working with an organisation investing heavily in its data capability and looking to appoint an experienced Enterprise Data Architect to lead the design and evolution of its enterprise-wide data landscape.
This is a senior strategic position where you'll work closely with technology and business leaders to shape data architecture, define standards and ensure the organisation has a scalable, secure and future-ready data platform.
You'll play a key role in modernising existing data environments, designing cloud-based solutions and driving best practice across data governance, modelling and analytics.
Key responsibilities
- Define and develop the enterprise data architecture strategy.
- Design scalable data warehouse, lakehouse and cloud data solutions.
- Establish data governance, quality and architectural standards.
- Work closely with senior stakeholders to align technology with business objectives.
- Lead architecture decisions across data platforms, integration and analytics.
- Identify opportunities to simplify existing platforms while improving scalability and performance.
- Evaluate emerging technologies and recommend improvements to the wider data estate.
What we're looking for
- Extensive experience in Enterprise Data Architecture or a similar strategic data leadership role.
- Strong background designing enterprise-scale cloud data platforms.
- Experience with Azure, Databricks and modern data architecture principles.
- Strong understanding of data modelling, governance and data quality frameworks.
- Experience delivering large-scale data transformation initiatives.
- Knowledge of technologies such as SQL, PySpark, Snowflake, Kafka and modern BI platforms including Power BI or Tableau.
- Excellent communication skills with the ability to influence senior technical and business stakeholders.
This is an opportunity to join an organisation where data is a strategic priority and where you'll have genuine influence over the future direction of its data architecture.