Staff Data Architect

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. What You'll Need 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. 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. 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 Pre…