Principal Engineer – PCS Data Fabric

GE HealthCare is focused on building clinical grade data platforms that provide meaningful insights across connected devices and digital health. In this role, you will design scalable data architecture on AWS to improve patient outcomes and support various stakeholders globally. Responsibilities: Design and evolve cloud‑native data platforms using S3, Lake Formation, Glue (catalog/ETL), Athena, EMR/EKS‑Spark, Redshift (including serverless), and Kinesis/MSK for streaming; Define lake and lakehouse patterns, real‑time and batch pipelines, and governed self‑service analytics capabilities; Implement PHI tokenization/pseudonymization, fine‑grained access controls (column/row level), Macie discovery, encrypted storage (KMS), and data retention/lineage strategies using Glue and tags; Apply DLP and other privacy‑preserving controls aligned with HIPAA, GDPR, HITRUST, and FDA/ISO frameworks; Enable data exchange using FHIR, DICOM, HL7, and device telemetry through IoT Core into streaming and lake layers; Build governed ML workflows with SageMaker pipelines, model registry, lineage tracking, explainability, and bias reporting; Support dataset versioning and incorporate human‑in‑the‑loop processes when needed; Lead data mesh/product governance, enable Redshift/Athena consumption, support DataZone cataloging and access workflows, and utilize Clean Rooms for privacy‑preserving collaboration; Architect for resiliency across multi‑AZ/multi‑region deployments, including S3 replication, lifecycle management, partitioning/compaction, and cost‑efficient performance tuning; Maintain validation packages for regulated analytics and AI pipelines, including traceable lineage and CFR Part 11 evidence Qualifications: This role will need to work out of the central time zone; 12+ years of experience in data or analytics platforms; 6+ years leading AWS data architecture at scale; Deep expertise with S3, Lake Formation, Glue, Athena, EMR, Redshift, Kinesis/MSK, and SageMaker; Experience governing PHI and regulated ML workflows Required Skills: AWS data architecture, S3, Glue, SageMaker, Lake Formation, Athena, Redshift, Kinesis/MSK, PHI governance, Curiosity, Growth mindset