<p><strong>Opportunity Overview</strong></p> <p>We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data.</p> <p><strong>What You'll Do</strong></p> <p><strong>Semantic Layer Governance: </strong>Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across</p> <p><strong>Architect the Enterprise Context Layer: </strong>Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems.<br><br><strong>AI-Native Prototyping</strong>: Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers.</p> <p><strong>Security & Compliance Leadership</strong>: Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation.</p> <p><strong>Cross-Functional Collaboration</strong>: Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders.</p> <p><strong>ISMS roles and responsibilities</strong></p> <ul> <li>Good knowledge of Information practices.</li> <li>Assist the manager in all the information security activities implementation and maintenance process.</li> <li>Ensuring the team and imparted with Competence related to Information security</li> <li>Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.</li> </ul> <p><strong>Required Qualifications:</strong></p> <p><strong>Must-Haves</strong></p> <ul> <li>12+ years of deep data engineering, with a proven trajectory of operating in a Staff, Principal, or Architect capacity.</li> <li>Must be highly proficient in Python, SQL, and modern AI tools with a strong desire and ability to write code and spin up rapid, validating PoCs.</li> <li>Mastery over diverse data modeling languages and paradigms- including Relational, Dimensional, Data Vault 2.0, and Graph/Ontological modeling frameworks.</li> <li>Healthcare standards and compliance expertise: Deep understanding of healthcare interoperability standards (FHIR, HL7) and proven experience architecting HIPAA-compliant data platforms in production environments</li> <li>Deep expertise in modern data platforms and cloud-native architectures, with strong command of AWS data services (S3, Glue, Athena, Redshift, Lake Formation)</li> <li>Understanding of data pipeline orchestration, transformation frameworks (dbt, Airflow), and modern data stack components</li> <li>Outstanding executive presence and communication skills, with a track record of translating highly abstract semantic concepts (ontologies, knowledge graphs) into compelling business value narratives for C-suite and business stakeholders.</li> </ul> <p><strong>Nice-to-Haves</strong></p> <ul> <li>Direct experience designing semantic graphs or metadata abstraction layers specifically designed to optimize multi-agent AI workflows.</li> <li>Familiarity with enterprise metric storage paradigms and middleware tools (e.g., dbt)</li> <li>Expertise in modern data lakehouse architectures leveraging open table formats such as Apache Iceberg, Delta Lake.</li> <li>Contributions to open-source projects or thought leadership in the data architecture community</li> </ul> <p><strong>Interview Process*:</strong></p> <ol> <li>Connect with Talent Acquisition for a Preliminary Phone Screening</li> <li>Meet your Hiring Manager!</li> <li>Live System Design Exercise </li> <li>Project Retro </li> <li>Bar Raiser: Cross Functional Interview</li> </ol> <p>*Subject to change</p> <p><strong>About Cohere Health Company:</strong></p> <p>Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.</p> <p>Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (202