Serve as the initial technical point of contact for the migration of our enterprise data platform into Google Cloud Lakehouse.
Take point on the initial cloud implementation and Medallion architecture.
Share knowledge and establish best practices for HL7/Google Cloud implementations.
Develop complex SQL queries for data extraction, manipulation, and reporting and transformation technologies.
Design and implement robust ETL/ELT pipelines using custom-tooling (Python/Google) and off-the shelf tooling with focus on monitoring, supportability, and resource stewardship.
Contribute to and leverage coding standards and best practices to ensure efficient and re-usable services and components.
Architect, implement and deploy new data models and data processes in production.
Build data pipelines which acquire, cleanse, transform and publish data from a wide variety of sources.
Assemble large, complex data sets which meets functional and non-functional business requirements.
Partner with data asset managers, architects, and development leads to ensure technical solution provides data which is fit for use and in line with architecture blueprints.
Identify, document, design, and implement internal process improvements.

Requirements

5+ years of Data Engineering with expert-level production experience in Google Cloud Platform.
Mastery of BigQuery architecture, performance tuning, and cost management.
Hands-on experience implementing and managing GCP HL7/FHIR Stores.
Expertise in parsing, flattening, and modeling hierarchical clinical data for downstream analytics.
Proven track record designing and implementing Medallion (Bronze/Silver/Gold) frameworks in a cloud-native environment.
Advanced proficiency with dbt (data build tool).
Demonstrated experience performing technical audits and handoffs from external contractors to internal operations.
Proven ability to upskill and assist a team of engineers in adopting new technologies (HL7/GCP) through documentation, patterns, and collaborative development.
Elite BigQuery SQL (JSON parsing/Analytical functions) and Python for orchestration and automation.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLETLELTPythonBigQuerydbtdata modelingdata transformationdata extractiondata pipeline

Soft Skills

collaborationknowledge sharingprocess improvementtechnical auditingteam assistance