Director, Data Engineering & Architecture (Remote)

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Director of Data Architecture & Engineering will ensure Ceribell’s systems and data architecture support the organization’s strategic objectives by managing technological and data infrastructure, facilitating communication across teams, and translating business needs into scalable internal tools.

Responsibilities:

• Develop and execute the enterprise architecture strategy, ensuring it supports overall business objectives and long-term vision
• Provide leadership in defining and designing the architecture for systems, applications, data, AI, and technology infrastructure, with an emphasis on reuse and coherence across tools
• Collaborate with business leaders and executive team to ensure technology solutions align with business needs and goals
• Establish and document architectural standards, guidelines, best practices, and processes across the organization
• Create and maintain architectural roadmaps that outline the future state of technology to meet business priorities
• Identify and evaluate AI tools, emerging technologies, and modern data platforms for integration into internal workflows
• Own and evolve Ceribell’s data architecture, including stewardship of the data warehouses and data pipelines that bring together information from across the business
• Build, mentor, and develop a high-performing enterprise architecture team
• Select and manage relationships with external vendors and third parties involved in delivering architecture solutions
• Partner with business stakeholders to understand their needs and translate ideas and prototypes into production-grade internal applications
• Other responsibilities as assigned by your Manager/Supervisor

Requirements:

• 10+ years of experience in IT architecture or software engineering, with at least 5 years in a leadership role
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field preferred; will accept any suitable combination of education, experience, and training
• Strong knowledge of AI/ML, data platforms, cloud-native technologies, software engineering tools, and distributed system design to deliver measurable business impact
• Experience transforming tech landscapes with multiple SaaS, custom, and enterprise business applications with a focus on reuse, simplification, and cost efficiency
• Strong understanding of data architecture, data quality, data governance, data privacy, and analytics/reporting, including pipeline design and systematic data quality practices
• Exceptional leadership, strategic thinking, and communication skills to articulate complex technical concepts to diverse audiences
• Ability to understand business objectives and processes and translate them into effective technology strategies
• Experience in developing long-term technology roadmaps and financial plans for technology investments
• Prior experience as a developer or architect in enterprise data systems such as Snowflake, Salesforce, or NetSuite preferred