Staff Data Architect

The role

This person will architect the complete lifecycle of data moves, transforms, and creates value across all product lines. They will own the blueprint for the enterprise data lakehouse and set standards for governance and strategy.

What you will do

• Set the technical standard and reference architecture for a universal semantic layer.
• Define, scale, and govern the global Enterprise Ontology.
• Leverage AI-native development environments to generate and document blueprints for data schemas.
• Embed regulatory compliance and security principles into platform design.
• Partner with security and compliance teams to support audit readiness.
• Translate business requirements into scalable technical solutions with executive leadership.
• Communicate complex architectural concepts to technical and non-technical stakeholders.
• Assist the manager in information security activities implementation and maintenance.
• Implement security policies and procedures and report issues to the Information Security Manager.
• Ensure the team is imparted with competence related to Information security.

Required qualifications

• 12+ years of deep data engineering in a Staff, Principal, or Architect capacity.
• Highly proficient in Python, SQL, and modern AI tools.
• Ability to write code and spin up rapid, validating PoCs.
• Mastery over Relational, Dimensional, Data Vault 2.0, and Graph/Ontological modeling frameworks.
• Deep understanding of healthcare interoperability standards (FHIR, HL7).
• Proven experience architecting HIPAA-compliant data platforms in production environments.
• Deep expertise in modern data platforms and cloud-native architectures.
• Strong command of AWS data services (S3, Glue, Athena, Redshift, Lake Formation).
• Understanding of data pipeline orchestration and transformation frameworks (dbt, Airflow).
• Understanding of modern data stack components.
• Outstanding executive presence and communication skills.

Nice to have

• Direct experience designing semantic graphs or metadata abstraction layers for 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

Before you apply

• Preliminary Phone Screening
• Meet your Hiring Manager
• Live System Design Exercise
• Project Retro
• Bar Raiser: Cross Functional Interview

About the company

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care. The company works with over 660,000 providers and handles over 12 million prior authorization requests annually.