SAP Data Architect

Overview

As Data Architect, you will shape data strategies and architectural decisions to enable large-scale transformation programs. You’ll work with senior stakeholders and cross-functional teams to position data as a strategic asset and ensure effective governance, migration, and data management.

You will lead design decisions, guide project teams, and contribute to business development in client engagements. This role blends hands-on architecture with advisory impact, delivering high-quality outcomes in complex environments.

You’ll join a consultancy-focused team that values collaboration and impactful data solutions.

Pay / Benefits

• Flexible and hybrid working arrangements
• Opportunities to work on complex transformation programmes
• Professional development and learning opportunities
• Health and wellbeing support
• Volunteering and community engagement opportunities
• Competitive compensation and benefits package

Responsibilities

• Promote data opportunities and best practices across internal teams and client organizations
• Collaborate with senior leaders to define data strategies aligned with business and architectural goals
• Lead and support architectural decisions for data architecture, migration, governance, and management
• Provide guidance across a portfolio of projects and client engagements
• Develop strategies to address complex business and technical challenges
• Lead project delivery, manage risks, and ensure high-quality outcomes
• Contribute to business development, shaping proposals and supporting client discussions
• Ensure projects meet objectives, quality standards, and stakeholder expectations

Key requirements

• Strong expertise in data architecture, data management, governance, quality, and migration
• Experience engaging with and influencing senior stakeholders (technology, data, business leaders)
• Proven ability to define and communicate data strategies and architectural recommendations
• Knowledge of enterprise data platforms and both modern and legacy environments
• Understanding of industry best practices and evolving data technologies
• Excellent stakeholder management and communication skills
• Experience supporting business development, solution shaping, or pre-sales (advantageous)
• Experience in consulting, professional services, or large-scale transformation programs (beneficial)
• stakeholder management
• communication
• relationship-building
• data architecture
• data management
• data governance

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