Job Description
Healthcare Data Engineering Lead (Google Cloud Platform) || Remote || Contract
Summary: Strong experience architecting enterprise data platforms on Google Cloud (Google Cloud Platform). The architect will work as a strategic technical partner to design and build a Google Cloud Platform BigQuery-based Data Lake & Data Warehouse ecosystem.
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.
Required Skills & Qualifications
- Technical Skills (Must-Have)
- 10+ years in data architecture, engineering, or data platform roles.
- Strong expertise in Google Cloud Platform 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
Thanks,
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