Senior Data Architect; Senior Consultant, Engineering & Technical Services

Senior Data Architect (Senior Consultant, Engineering & Technical Services)

At Fearless, we are seeking a Senior Data Architect as part of our Senior Consultant, Engineering & Technical Services career path to design and govern the enterprise semantic data architecture that enables natural language querying, semantic search, knowledge graphs, GraphRAG, and AI‑ready analytics across federal financial regulatory datasets. This role serves as the technical authority for semantic modeling, ontology development, metadata governance, entity resolution, and cloud‑native data architectures supporting cross‑domain analysis of structured and unstructured regulatory data.

• Lead enterprise semantic architecture strategy and roadmap development to support scalable semantic data capabilities across financial, regulatory, and disclosure datasets.
• Design enterprise ontologies supporting SEC financial, regulatory, and disclosure data.
• Define semantic layer architectures supporting natural language query, semantic search, knowledge graphs, GraphRAG, and agentic AI workflows.
• Develop logical and physical architectures for lakehouse environments, knowledge graphs, graph databases, metadata repositories, and vector stores.
• Establish metadata governance standards that include machine‑readable definitions, business glossaries, data lineage, versioning, and stewardship models.
• Define entity resolution strategies and identity management approaches to support consistent semantic integration across enterprise datasets.
• Establish architecture patterns leveraging AWS Neptune, Open Search, Databricks, lakehouse architectures, and XBRL taxonomies.
• Design lineage and traceability capabilities that support auditability and explainable AI.
• Ensure compliance with SEC security, governance, and AI requirements.
• Collaborate with federal stakeholders to develop semantic models across multiple datasets and forms.
• Guide technical teams through architecture reviews and implementation decisions.

• Fosters collaboration with cross functional teams by taking the initiative and driving conversations.
• Coach, mentor, and develop peers that elevate team capability and technical expertise.
• Earn the trust of customers and teammates by delivering world‑class services.
• Drive accountability and delivery by ensuring project objectives are met on time and aligned with client priorities.
• Take ownership of risk management by monitoring deliverables, identifying issues early, and coaching teammates on mitigation strategies.
• Shape client engagement and intelligence‑gathering efforts by cultivating relationships with stakeholders and providing actionable recommendations.

• Deliver expected outcomes relative to high quality code and maintainable systems.
• Offer and implement innovative solutions that include engineering best practices through new tools, frameworks and methodologies.
• Lead and align stakeholders with product and project goals that advance customer satisfaction and Fearless objectives.
• Serve as a trusted advisor in your area of expertise.

• Minimum of 10 years of experience designing enterprise data architectures, with at least 5 years focused on cloud‑native data platforms.
• Experience with knowledge graphs, semantic layers, ontologies, graph databases, and metadata governance.
• Experience with AWS, Neptune, Open Search, Databricks, and lakehouse architectures.
• Experience implementing entity resolution, data lineage, master data management, and data governance solutions.
• Familiarity with XBRL taxonomies, financial reporting data, and regulatory datasets.
• Strong stakeholder facilitation and data governance experience.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Ability to obtain and maintain Public Trust clearance.

• Experience supporting SEC, Treasury, IRS, CFPB, FDIC, OCC, Federal Reserve, or similar regulatory agencies.
• Experience implementing GraphRAG architectures that integrate knowledge graphs with retrieval‑augmented generation workflows.
• Experience with RDF, LPG, OWL, SKOS, or related semantic technologies…