Data Architect

Overview

Data Architect - Permanent | Full time (34.5 hours). We are open to a conversation about how you work these hours.
Hybrid - Split between home and our Glasgow office: our hybrid model for this role will mean 1 day a month in the office.
Salary - £69,000 - £75,000

About us - At Macmillan, we're on a mission to do whatever it takes to support people living with cancer. Behind every service, campaign, partnership and funding decision is data that helps us understand needs, improve experiences and maximise our impact.

We're looking for an experienced Data Architect to shape and lead the future of data across Macmillan. This is an exciting opportunity to define our enterprise data architecture, establish standards and governance, and enable colleagues across the organisation to make better, insight-driven decisions.

If you're passionate about creating clarity from complexity, influencing strategic decisions, and building data foundations that enable innovation and impact, we'd love to hear from you.

As Data Architect, you will be responsible for defining, owning and evolving Macmillan's enterprise data models and architecture. You'll work across business and technology teams to ensure data is structured, governed and utilised effectively, creating consistency, interoperability and valuable insight across the organisation.

Reporting to the Head of Technology Strategy and Architecture, you'll act as a trusted expert and advisor, helping teams understand how data should be represented within our technology landscape while ensuring alignment with our wider organisational strategy.

You'll play a key role in enabling Macmillan to become increasingly data-driven, identifying opportunities for innovation and ensuring our data assets support both operational excellence and our charitable mission.

• Defining and maintaining Macmillan's enterprise data architecture and data models.
• Shaping and contributing to data strategy, policies, standards and governance practices.
• Championing data architecture best practice across the organisation and embedding consistent ways of working.
• Providing expert guidance to business stakeholders, technology teams and delivery partners on data design and architecture.
• Ensuring business solutions align with agreed data principles, standards and strategic objectives.
• Maintaining the integrity, quality and consistency of enterprise data models.
• Driving opportunities to innovate through improved use of data, emerging technologies and new analytical approaches.
• Supporting the effective use of data and insight across Macmillan, helping teams select and adopt the right tools and approaches.
• Collaborating with stakeholders across multiple functions to solve complex business challenges through effective data design.

• Significant experience designing and managing enterprise-level data architecture and data models.
• Strong knowledge of data modelling techniques, patterns and industry standards, including conceptual, logical and physical modelling.
• Experience developing and implementing data governance frameworks, standards and policies.
• Ability to analyse complex data landscapes, undertake data profiling and understand source systems.
• Experience establishing and maintaining metadata management practices and repositories.
• Strong understanding of data quality, data lifecycle management and data standards.
• Ability to translate complex business challenges into scalable and effective data architecture solutions.
• Experience influencing stakeholders at all levels, including senior leaders, technical specialists and third-party partners.
• Strong problem-solving skills with the ability to coordinate and drive resolution of complex data-related issues.
• Excellent communication and facilitation skills, able to engage both technical and non-technical audiences.
• Experience working within large, complex organisations undergoing digital or data transformation.
• Knowledge of modern data platforms, cloud-based data technologies and analytics ecosystems.
• Experience identifying and implementing opportunities for data innovation and advanced insight generation.
• Familiarity with charity, healthcare, public sector or similarly complex stakeholder environments.