Principal Information Architect – Metadata Thought Leadership
On-siteLondon, England, United Kingdom
Job Summary
Develop and maintain metamodels, controlled vocabularies, mappings, and domain-specific languages that make metadata actionable for software engineering teams. Build and maintain tooling that captures, validates, transforms, and presents metadata to support current and emerging business needs. Prototype solutions independently to architect metadata foundations that enable AI solution capabilities, including semantic consistency, provenance, and interoperability across engineering workflows. Establish reuse-first, metadata-driven engineering patterns and governance that support AI-enabled platforms through well-defined models and tooling integrations. Engage with stakeholders, including the Chief Data Office and development teams, to communicate Information Architecture vision and drive standards adoption.
Required Qualifications
- Create logical and physical data models and express them clearly for both technical and non-technical audiences
- Use UML modeling tools (for example, MagicDraw, PowerDesigner, or Eclipse-based tooling)
- Apply metamodel concepts (for example, UML and MOF) to structure and govern modeling approaches
- Work with controlled vocabularies and metadata standards to drive consistency and reuse
- Produce and interpret mappings and lineage to explain how data is related, moved, and transformed
- Translate between what is in a model and its corresponding representation in programming and schema languages. Build or maintain domain-specific languages, including their abstract syntax structures
- Program effectively in one or more languages such as Java, JavaScript, Python, or C++. Implement language tooling components such as parsers, interpreters, compilers, debuggers, or related frameworks
- Prototype solutions independently and navigate ambiguous design and functionality problems
- Collaborate with business and technical teams to understand, translate, review, and playback requirements
- Intimately understand the relationship between what is in a model and its corresponding representation in other programming and schema languages. Similarly, for domain specific languages and ASTs.
- Demonstrated experience designing metadata/language architecture that supports AI-enabled solutions, including enforceable semantics, lineage/provenance, and integration into scalable platforms with resiliency, security, and auditability requirements
Desired Qualifications
- Exposure to code generation patterns and the development or use of code generators. Familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development
- Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers
- Comfort engaging with the algorithms and mathematics behind languages, tooling, and data processing
- Academic background paired with hands-on implementation experience
- Interest in how strong Information Architecture and models enable modern software development and engineering discipline
- Awareness of how modeling and metadata practices support regulatory and control requirements
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.