Sr. GCP Data Engineer (Health Care Background Must)

About the position

Summary: Strong experience architecting enterprise data platforms on Google Cloud (GCP). The architect will work as a strategic technical partner to design and build a GCP BigQuery-based Data Lake & Data Warehouse ecosystem. Required Skills & Qualifications Technical Skills (Must-Have) • 10+ years in data architecture, engineering, or data platform roles. • Strong expertise in GCP data stack (BigQuery, Dataflow, Composer, GCS, Pub/Sub, Dataproc, Dataplex). • Hands-on experience with data ingestion, pipeline orchestration, and transformations. • Deep understanding of clinical data standards: • HL7 v2.x, FHIR, CCD/C-CDA • DICOM (for scans and imaging) • LIS/RIS/PACS data structures • Experience with device and IoT data ingestion (wearables, remote patient monitoring, clinical devices). • Experience with ERP datasets (Workday, Oracle, Lawson, PeopleSoft). • Strong SQL and data modeling skills (3NF, star/snowflake, canonical and logical models). • Experience with metadata management, lineage, and governance frameworks. • Solid understanding of HIPAA, PHI/PII handling, DLP, IAM, VPC security. Cloud & Infrastructure • Solid understanding of cloud networking, hybrid connectivity, VPC design, firewalling, DNS, service accounts, IAM, and security models. • Cloud Native Data movement services • Experience with on-prem to cloud migrations. The role requires deep hands-on expertise in data ingestion, transformation, modeling, enrichment, and governance, combined with a strong understanding of clinical healthcare data standards, interoperability, and cloud architecture best practices Advanced level English Remote (only mexico)

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