We are seeking a Platform and Engineering Architect to lead the definition of a unified, group-wide data platform framework, enabling data engineers, scientists, developers, and business users to build, scale, and consume data and AI solutions through self-service. This is a long-term role on a strategic, complex company-wide client data platform initiative, requiring close collaboration with both technology and business stakeholders.
Responsibilities
- Define target architecture capabilities and engineering standards for platform implementation
- Decide platform roles by workload and translate standards into executable guidelines
- Establish the platform as a product with a single front door, self-service by default, and visible cost structures
- Set ownership models ensuring every data product has a named owner and a minimum contract
- Build adoption considerations into delivery processes and measure platform capability over time
- Engineer data solution architecture patterns across a multi-vendor environment
- Act as a liaison between client technology stakeholders and business stakeholders to align platform direction
- Drive governance frameworks across platform architecture, data products, and adoption workstreams
Requirements
- 3+ years of experience in data solution architecture and engineering within multi-vendor environments
- Expertise in defining platform architecture capabilities, roles, and engineering standards at scale
- Proficiency in establishing data governance frameworks, including ownership models and data contracts
- Background in operating platforms as products, with self-service delivery and cost transparency
- Skills in effective communication with both technical and business stakeholders
- Capability to drive adoption and measure capability across a complex, company-wide initiative
- Proficiency in English at a B2+ level