> Markdown version of [/jobs/ext/2189566-information-architect](https://www.wearedevelopers.com/jobs/ext/2189566-information-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Information Architect - **Company:** Propertyvalue Northern Trust - **Location:** United States - **Salary:** $137,400.0 - $240,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Structures, Data Systems, Data Vault Modeling, Information Management, Python (Programming Language), Meta-Data Management, Neo4j, Resource Description Framework (RDF), SPARQL, Management of Software Versions, GitHub Copilot, Large Language Models, Snowflake, Data Layers, Data Lakes, Information Technology, Physical Data Models, Virtual Agents, Data Pipelines, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/29798f22-f11d-4afc-8203-0360de93b163 ## About the Role * Proven experience in data architecture, data engineering, or information management * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline * Proven enterprise data modelling experience at conceptual, logical, and physical levels * Hands-on SqlDBM experience (or equivalent modern toolset) * Proven experience with dbt Labs * Good Python skills, API integration, automation * Practical Snowflake and Databricks experience including Cortex AI and Genie * Working knowledge of OWL, RDF, SPARQL and enterprise ontology design * Experience with at least one agentic AI framework * GitHub Copilot or equivalent AI coding assistant experience in a professional setting * Financial services background preferred; BCBS 239 awareness advantageous Desirable * Data Vault 2.1 alongside Kimball/Star-schema modelling * Data mesh, data product ownership and federated governance * Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ontologies * Published thought leadership or community contributions in data or AI ## Description * Lead and contribute with conceptual, logical, and physical data model design aligned to the firm's data mesh and medallion architectures * Govern and maintain the enterprise data model library in SqlDBM, enforcing naming conventions, domain standards, and versioning * Define and steward canonical data entities and lineage across source, integration, and consumption layers * Help with the translation of business requirements into rigorous data structures in collaboration with engineering and domain teams * Guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions Semantic & Knowledge Modelling * Integrate semantic layers with business glossaries, data catalogues, and lineage tooling * Design and maintain semantic models to support agentic-AI capabilities * Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search * Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products * Guide and control the creation of data domains that align with the banks underlying capabilities Data Engineering & Platforms * Design data product schemas across Snowflake and Databricks, including Delta Lake structures and access patterns * Define and enforce architectural guardrails for data product design, including performance, scalability, security, and cost efficiency * Set design standards and review transformation/pipelines for compliance * Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development * Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products * Utilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline development * Design and define a set of agentic skills that can be provided to implementation teams * Contribute to the firm's AI Champion network, evaluating emerging capabilities and advising on adoption Enterprise Architecture & Design Assurance * Act as a design authority for data architecture across teams and data domains * Partner with enterprise, security, and risk architecture to ensure data solutions align with broader technology and regulatory standards * Provide early-stage architectural input to initiative discovery and solution design to reduce delivery risk Governance & Stakeholder Engagement * Present architecture decisions to senior stakeholders, architecture review boards, and regulatory audiences * Support regulatory compliance through robust lineage, metadata management, and data quality evidence * Mentor junior architects and engineers within the Information Architecture community of practice ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)