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 Engineering & Architecture will ensure that Ceribell’s systems and data architecture support the organization’s strategic objectives, facilitating communication and execution across various teams while developing robust 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