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# Enterprise Data Architect - Contract

- **Company:** Neweasy
- **Location:** Manchester, United Kingdom (Remote available)
- **Experience:** Expert
- **Salary:** £143,000 - £156,000
- **Contract:** Contract
- **Skills:** Amazon Web Services, Microsoft Azure, Business Systems, Data Architecture, Data Governance, Data Infrastructure, Data Mart, Cloud Services, Data Streaming, Enterprise Data Management, Snowflake, Data Strategy, Event Driven Architecture, Apache Kafka, Data Management, Confluent
- **Published:** November 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/enterprise-data-architect-contract/57561734

## About the Role

* Proven experience as an enterprise or data architect, ideally as a contractor.
 * Hands-on event-driven architecture experience with Kafka or Confluent.
 * Experience with AWS, ideally including EventBridge.
 * Strong data modelling, ideally Kimball dimensional modelling.
 * Experience with Snowflake and dbt.
 * A background in retail, ecommerce or manufacturing is a plus.
 * The confidence to challenge, shape requirements and set direction., * Cloud Services & Infrastructure
 * Communication Skills
 * Data Architecture
 * Data Governance
 * Data Management
 * Data Modeling
 * Data Strategy
 * Microsoft Azure
 * Stakeholder Management
 * Streaming Data Processing

## Description

An established, growing UK business is looking for an experienced Enterprise Data Architect to shape its data and integration architecture. This is a senior, hands-on role at an important stage of their data journey.

You'll set the architecture direction, design how data and systems connect across the business, and work closely with the wider data and engineering teams.

What you'll be doing

 * Defining the enterprise data architecture, from the enterprise model through to data marts in Snowflake.
 * Designing event-driven integration between core business systems using Kafka and AWS EventBridge.
 * Shaping how event streams land in the data platform, including through Confluent Tableflow.
 * Setting architecture and data modelling standards.
 * Turning business requirements into designs the engineers can build in dbt.
 * Coaching and supporting the team to apply the standards.