Title: Data Architect (Dicom/Medical Imaging).
Location: Onsite at San Francisco, CA (3 days a week).
The client is open to considering non-local, travel-ready candidates who can commit to being onsite three days a week in San Francisco (company-paid travel). Full-time employees only.
As a Data Architect, you will:
Design and manage large-scale, petabyte-level imaging and clinical data ecosystems.
Contribute to high-impact projects spanning radiology, digital pathology, ophthalmology, neurology, and oncology.
Drive the architecture strategy for next-generation healthcare platforms.
Key Responsibilities
* Architect high-throughput ingestion pipelines for large-scale imaging, clinical, and omics data in a validated environment.
* Ingest, curate, and store data, making it available for internal evidence generation, annotation, deep learning workloads, and statistical analysis.
* Design canonical schemas, lineage, governance, and interoperability for multi-modal data.
* Optimize storage and retrieval strategies for petabyte-scale datasets and link different data modalities.
* Design backup and disaster recovery solutions.
* Ensure compliance with 21 CFR Part 11, HIPAA, GxP, and SaMD standards.
* Collaborate with cross-functional teams to align architecture with regulatory and operational requirements.
* Organize data to enable seamless integration of Gen AI for intelligent workflows and conversational analytics.
* Create proof of concepts for key focus areas.
Required Skills & Experience
* 15 years of expertise in data architecture.
* Experience handling petabyte-scale imaging data.
* Experience handling clinical and omics data.
* Extensive experience with AWS cloud services related to data architecture, including Glue, S3, FSx for Lustre, Collibra, Redshift, Lake Formation, and Postgres.
* Knowledge of imaging standards such as DICOM and NIFTI.
* Experience working in radiology and digital pathology.
* Experience working in ophthalmology, neurology, or oncology disease areas.
* Experience with DICOM and non-DICOM protocols and formats.
