Data Architect

Quick Facts

• Role: Data Architect (Implementation)

Description

As a Data Architect, you own the data workstream for customer implementations end to end—from discovery through go-live sign-off—acting as the senior authority on how customer data enters and flows through the platform. You lead data discovery, design target data architectures and migration approaches, produce the required architectural artefacts, and set the validation and reconciliation framework to ensure migrated data is trustworthy. You also define ongoing integration architecture and advise customer leadership on data strategy.

Responsibilities

• Own the end-to-end data workstream for each implementation
• Lead discovery of customer systems landscape, data maturity, and structures; define migration and integration strategy
• Design target data architecture mapping business model to platform modules and entities
• Produce ERDs, data dictionaries, mapping specifications, and integration specs for execution
• Direct transformation and migration: standards, validation criteria, and coordination with teams
• Set data quality bar with validation and reconciliation framework for sign-off
• Define integration architecture for ongoing data flows; oversee delivery with engineering
• Build reusable implementation methodology (playbooks, mapping frameworks, standards)
• Serve as trusted advisor to finance, commercial, and IT leadership; feed insights into product roadmap

Requirements

• Substantial experience in data or solution architecture within implementations, professional services, or consulting; ideally ERP or construction domain
• Track record owning the data workstream on enterprise-scale projects
• Deep technical grounding in SQL, data modelling, and ETL; capable of validating migration decisions at the detail level
• Strong architectural instincts to create a defensible target model from undocumented/complex legacy landscapes
• Authority with customers: lead discovery workshops and present decisions to IT leadership
• Pragmatic approach to deliver outcomes on deadlines
• High standards for data quality and governance
• Strong documentation/specification skills for execution by consultants and engineers
• Experience mentoring or directing consultants/analysts/engineers without relying on formal line management

Benefits

• Company share options with a real path to becoming a shareholder
• Real impact in an international, fast-growing company
• Startup environment to shape how work gets done
• Investment in development (training, courses, opportunities to build new skills)
• Ownership and accountability without heavy bureaucracy
• Flexible working hours