Enterprise Data Architect

La Fosse; Hounslow; On-site; GBP 90,000 - 125,000; Full time

Job summary

La Fosse is seeking an experienced Enterprise Data Architect to join a major transformation programme within a complex enterprise environment. You will define and deliver the organisation’s data architecture strategy, enabling improved decision-making, governance across Finance, Procurement, HR, Property, and Asset Management.

Working with Enterprise Architecture and Data & AI teams, you will design scalable data models, integration patterns, and governance frameworks that support the asset

Qualifications

• Experience defining and delivering data architecture strategy for complex enterprises.
• Proven ability to design end-to-end data models and governance frameworks.
• Strong stakeholder management across finance, procurement, HR, and operations.
• Experience with cloud platforms (Azure, AWS, GCP) and Lakehouse architectures.
• Expertise in data migration, integration, and real-time analytics.

Responsibilities

• Design end-to-end data architecture across the asset lifecycle.
• Define current and future-state data architectures with roadmaps.
• Establish authoritative data sources and data ownership.
• Develop enterprise data models to support integration and analytics.
• Design integration architectures and event-driven data flows.
• Lead data governance initiatives: data quality, stewardship, MDM.
• Support trusted reporting and analytics data products.
• Ensure compliance with privacy, retention, security and regs.
• Document data models, interfaces, and data flows.
• Enable self-service reporting and high-quality data access.
• Collaborate with stakeholders to align data strategy with objectives.

Skills

Data architecture

Data modelling

Data governance

Data integration

Cloud data platforms

Azure

AWS

Google Cloud

Databricks

SQL databases

Oracle ERP

Hadoop

Spark

Kafka

APIs

Data quality

Master data management

Security & privacy

Stakeholder management

Analytics & reporting

AI / ML awareness

Education

CDMP

Azure Data Engineer certification

AWS Data Analytics certification

Tools

Databricks

Oracle ERP

SQL databases

Hadoop

Spark

Kafka

Job description

We are seeking an experienced Enterprise Data Architect to join a major transformation programme within a complex enterprise environment. You will be responsible for defining and delivering the organisation’s data architecture strategy, enabling improved decision-making, operational efficiency, and governance across key business functions including Finance, Procurement, HR, Property, and Asset Management.

Working closely with Enterprise Architecture and Data & AI teams, you will design scalable data models, integration patterns, and governance frameworks that support the full asset lifecycle and future business growth.

Key Responsibilities

• Design end-to-end data architecture across the asset lifecycle from planning through to retirement.
• Define current and future-state data architectures, including gap analysis and roadmaps.
• Establish authoritative data sources and data ownership across corporate functions.
• Develop enterprise data models to support integration, workflow automation, and business insight.
• Design integration architectures and event-driven data flows across business systems.
• Lead data governance initiatives including data quality, stewardship, and master data management.
• Support the development of trusted reporting and analytics data products.
• Ensure compliance with data privacy, retention, security, and regulatory requirements.
• Produce clear documentation of data models, interfaces, and data flows.
• Enable self-service reporting and improved access to high-quality business data.
• Collaborate with business stakeholders, architects, and technical teams to align data strategy with organisational objectives.
• Expertise in conceptual, logical, and physical data modelling.
• Experience with Oracle ERP, SQL databases, and Lakehouse platforms such as Databricks.
• Knowledge of cloud data platforms including Azure, AWS, or Google Cloud.
• Strong understanding of data governance, data quality, and master data management.
• Experience designing data integrations, APIs, and data pipelines.
• Knowledge of data security, privacy, retention, and compliance requirements.
• Experience solving complex data migration, consolidation, and integration challenges.
• Excellent stakeholder management and communication skills.
• Experience enabling analytics, reporting, and self-service data capabilities.
• Understanding of emerging technologies including AI, machine learning, real-time analytics, and data lakes.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Exposure to advanced analytics and machine learning solutions.
• Relevant certifications such as CDMP, Azure Data Engineer, or AWS Data Analytics.
• Experience working within large-scale infrastructure, asset-intensive, or highly regulated environments.