> Markdown version of [/jobs/ext/2155385-data-information-architect](https://www.wearedevelopers.com/jobs/ext/2155385-data-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). --- # Data & Information Architect - **Company:** Cardinal Integrated Technologies Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Extract Transform Load (ETL), Data Virtualization, Enterprise Architecture Framework, Graph Database, Metadata, Neo4j, NetApp Applications, Rapid Prototyping Process, Data Streaming, Large Language Models, Model Validation, Togaf, Data Lineage, Apache Kafka, Virtual Agents - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/6e86060e-3c15-494b-8198-8c964e28a798 ## About the Role Nice to have: experience with data catalog, metadata, and lineage tooling ## Description Role: Data & Information Architect, Testing & Monitoring (TANDMS) Duration: 6-12+ Months Contract Location: Charlotte, NC or Minneapolis, MN - Hybrid (3 Days onsite), * Senior or lead-level architect and hands-on practitioner, able to take initiatives from concept through design, architecture, and working prototypes rather than strategy alone. * Deep data and information architecture: conceptual, logical, canonical, and semantic data models; authoritative systems of record and reusable data products; source-to-target mapping, data lineage, reconciliation, auditability, metadata, and governance. * Modern integration and platform fluency across APIs, event streaming (Kafka), ETL/ELT, data virtualization, Lakehouse consumption, and cloud or object storage such as NetApp S3. * Financial services domain depth across risk, compliance, finance, and regulatory contexts, with the ability to translate business and regulatory needs into scalable architecture. * AI-embedded delivery applies GenAI, agentic AI, LLM/RAG, and knowledge-graph techniques to real use cases and rapid prototypes, while keeping AI governed, explainable, and compliant with Responsible AI, Model Risk, privacy, and security expectations. * Strong communicator and influencer with executive presence, comfortable presenting to senior leaders and Architecture Review Boards and operating independently in ambiguous, matrixed environments. * Typically, 7+ years in engineering and solution architecture, with 5+ years in a relevant financial-services domain, and familiarity with an enterprise architecture framework such as TOGAF. Must have: * Aligned to the enterprise Testing & Monitoring (TANDMS) platform within Corporate Risk and Governance, Risk & Compliance (GRC). * Own the data information strategy, target-state architecture, and sourcing roadmap for the enterprise Testing & Monitoring platform. * Model the core GRC domains (Risk, Control, Obligation, Issue, Test, Process, and Evidence) with canonical, semantic, and business-glossary definitions. * Define sourcing from authoritative systems of record and design ingestion using APIs, ETL/ELT, event streaming, virtualization, and metadata-driven patterns. * Enable configurable testing, risk-based sampling, control-effectiveness measurement, automated evidence collection, and end-to-end regulatory traceability. * Apply Neo4j, knowledge graphs, and ontologies for lineage, impact analysis, and cross-domain risk intelligence. * Embed AI for anomaly detection, intelligent sampling, evidence summarization, obligation-to-control mapping, and predictive issue identification. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [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) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [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) - [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) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)