Heartflow
medical technology
StaffDataArchitect
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Data Architect at Heartflow. Skills: Data Architecture, Data Strategy, Data Governance, Data Modeling, Cloud Data Platforms (AWS). Lead Data Strategy for the Medical Device System. Define the multi-year data architecture vision spanning transactional databases, Data Lake, and downstream consumers”
What You'll Achieve.
realizing Heartflow’s vision of a single, comprehensive platform to manage heart disease; operate on a trustworthy, well-described, and compliance-ready foundation; ensure mission-critical clinical workloads remain fast, reliable, and secure; Realizing the vision of a single, unified data platform that powers Heartflow’s products and AI capabilities; Championing high-quality data systems; Taking end-to-end ownership of complex architectural domains; securely deliver life-saving medical applications
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent experience, 10+ years of relevant industry experience in data architecture, data engineering, and/or database engineering, time spent leading architecture across multiple teams or programs
Nice to Have
Master's degree, familiarity with healthcare data standards (e.g., FHIR, HL7, DICOM)
What You'll Do.
Lead Data Strategy for the Medical Device System
Define the multi-year data architecture vision spanning transactional databases
and downstream consumers
and regulatory requirements into a coherent data strategy
Oversee Database Performance
Lead Enterprise Data Modeling
and physical data models across operational and analytical systems
Drive consistent representation of patients
Steward the master data and reference data needed for high-integrity clinical reporting
Partner with Software Engineering on Query Performance
Mentoring senior engineers
Driving cross-team architectural decisions
Establishing engineering standards
Influencing technology selection across multiple teams and programs
How You'll Work.
Team & Collaboration
partner deeply with Software Engineering, IT, Research, and Systems Engineering; Partner with Software Engineering on Query Performance; Fostering open communication across Engineering, IT, Research, and Systems Engineering
Communication Scope
elevate the semantic structure of our data; elevating the technical baseline of the entire team; operating independently with a high degree of latitude; guiding healthy technical debates that result in better outcomes
Full Job Description
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. This position will play a pivotal technical leadership role in realizing Heartflow’s vision of a single, comprehensive platform to manage heart disease. As a Staff Data Architect, you will lead the data strategy for our medical device system—defining how clinical, imaging, and operational data is structured, stored, accessed, and governed across our AWS-based platform and partner ecosystems. You will own the architectural roadmap for our transactional databases, analytical Data Lake, and the pipelines that connect them. Operating at the staff level, you will set the standards for data modeling, query performance, and access patterns, partner deeply with Software Engineering, IT, Research, and Systems Engineering, and elevate the semantic structure of our data so that our products—including emerging AI agents—opera
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