Opportunity Overview 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. What You'll Do Semantic Layer Governance: 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 Architect the Enterprise Context Layer: 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. AI-Native Prototyping: 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. Security & Compliance Leadership: 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. Cross-Functional Collaboration: 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. ISMS roles and responsibilities - Good knowledge of Information practices. - Assist the manager in all the information security activities implementation and maintenance process. - Ensuring the team and imparted with Competence related to Information security - Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: Must-Haves - 12+ years of deep data engineering, with a proven trajectory of operating in a Staff, Principal, or Architect capacity. - 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. - Mastery over diverse data modeling languages and paradigms- including Relational, Dimensional, Data Vault 2.0, and Graph/Ontological modeling frameworks. - Healthcare standards and compliance expertise: Deep understanding of healthcare interoperability standards (FHIR, HL7) and proven experience architecting HIPAA-compliant data platforms in production environments - Deep expertise in modern data platforms and cloud-native architectures, with strong command of AWS data services (S3, Glue, Athena, Redshift, Lake Formation) - Understanding of data pipeline orchestration, transformation frameworks (dbt, Airflow), and modern data stack components - 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. Nice-to-Haves - Direct experience designing semantic graphs or metadata abstraction layers specifically designed to optimize multi-agent AI workflows. - Familiarity with enterprise metric storage paradigms and middleware tools (e.g., dbt) - Expertise in modern data lakehouse architectures leveraging open table formats such as Apache Iceberg, Delta Lake. - Contributions to open-source projects or thought leadership in the data architecture community Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Live System Design Exercise - Project Retro - Bar Raiser: Cross Functional Interview *Subject to change About Cohere Health Company: 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. 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 (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

Staff Data Architect

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