Data Architecture & Engineering Lead

Contract Length: 1 Month (Outside IR35)
Location: Fully Remote
Rate: £400 per day

We're seeking a senior, hands-on Data Architecture & Engineering Lead to support a critical data transformation programme. This is a short-term engagement requiring someone who can quickly assess the current landscape, provide technical leadership, and drive key deliverables over the line.

You'll be working across a busy data function with multiple active initiatives, helping to improve and optimise the Snowflake environment, deliver key reporting outputs, and establish a consolidated customer view from multiple disconnected data sources.

This role requires a blend of architecture, engineering, stakeholder engagement and delivery leadership.

• Lead data architecture and engineering activities across a portfolio of data initiatives.
• Review, optimise and enhance the existing Snowflake platform.
• Design and implement a Single Customer View solution within Snowflake.
• Integrate data from 18+ source systems into a centralised reporting and analytics platform.
• Develop scalable data models to support reporting and business intelligence requirements.
• Support the delivery of 8 Power BI dashboards.
• Provide technical leadership and direction to existing Data Engineers.
• Establish best practices around data modelling, architecture and data management.
• Work closely with business stakeholders to understand requirements and prioritise delivery.
• Drive momentum across key projects and ensure critical objectives are achieved within the contract period.

• Proven experience in Data Architecture and/or Lead Data Engineering roles.
• Strong hands-on Snowflake experience.
• Experience designing and building modern data warehouse solutions.
• Advanced SQL skills.
• Strong data modelling experience.
• Experience integrating multiple data sources into a centralised platform.
• Power BI development and reporting experience.
• Ability to operate strategically while remaining hands-on.
• Excellent stakeholder management and communication skills.

• Customer 360 / Single Customer View experience.
• Master Data Management (MDM) experience.
• Experience leading data transformation programmes.
• Azure or AWS data platform experience.
• Experience mentoring or leading Data Engineering teams.