Position Details

Salary $125K – $170K USD / year

Type Full-Time

Experience lead

Exp. Years 3 years of leadership or management experience preferred

Education Not specified

Category Data & Analytics

About this role

Direct and govern end-to-end SDLC for high-scale data infrastructure, including GenAI data foundations and multi-cloud pipelines, with a healthcare focus on HL7/FHIR standards.

Key Responsibilities

Enterprise Data Lifecycle Orchestration: Direct end-to-end SDLC for high-scale data infrastructure
Multi-Cloud Architecture & Pipeline Governance: Govern design and optimization of data pipelines on Cloud environments (GCP preferred)
Performance Engineering, QA Validation & Release management
Operational Velocity & Dependency Mitigation
Technical Leadership & Ecosystem Evolution

Technical Overview

Hands-on data engineering leadership with GCP expertise, data pipelines, AI/ML infrastructure, vector databases, and CI/CD tooling; experience with BigQuery, DataFlow, DataForm, Airflow, and Python/JavaScript.

Ideal Candidate

The ideal candidate is a data engineering leader with 3+ years of leadership experience, hands-on expertise in Generative AI data foundations, and strong GCP skills (BigQuery, DataFlow, DataForm). They understand HL7/FHIR healthcare data standards and can manage multi-cloud data pipelines.

Must-Have Skills

3 years of leadership or management experience preferred3 years of cumulative leadership/management experience preferredHands-on experience architecting data foundations for Generative AI applicationsExperience with Vector & Graph Databases (e.g.PineconeWeaviate) and LLM orchestrationDeep understanding of HL7FHIR standardsExperience with EHR systemsHealthcare regulatory requirements for data engineeringCost-optimization strategies for cloud data warehousingMonitoring tools to reduce egress costs and compute wasteGCP BigQuery or equivalent cloud database environments

Nice-to-Have Skills

Advanced AI/ML infrastructureVector databasesExperience with DataForm or DataFlowWeaviatePinecone

Tools & Platforms

Google Cloud PlatformBigQueryDataFlowDataFormAirflowJenkinsPineconeWeaviateHL7FHIREHR

Required Skills

3 years of leadership or management experience preferred; Hands-on experience architecting data foundations for Generative AI applications; Vector & Graph Databases (e.g.PineconeWeaviate) and LLM orchestration; HL7FHIR; EHR systems; Healthcare regulatory requirements; Cost optimization for cloud data warehousing; BigQuery or similar; Data pipelines; DataForm; DataFlow; Airflow; Jenkins; Python; JavaScript; Spark; SQL; Stored Procedures; CI/CD

Hard Skills

GCPGoogle Cloud PlatformDataFormDataFlowAirflowJenkinsPythonJavaScriptSparkSQL / PostgreSQLBigQueryPineconeWeaviateHL7FHIREHRCI/CDCloud cost optimization

Soft Skills

LeadershipMentoringCommunicationStrategic thinkingProblem-solvingCollaboration

Industry & Role

Industry Healthcare & Medical

Job Function Direct and govern end-to-end data engineering initiatives across multi-cloud environments, ensuring scalable, compliant data pipelines and AI-ready infrastructure

Role Subtype Data Engineer Manager

Tech Domains Google Cloud Platform, Python, JavaScript, SQL / PostgreSQL, Spark, Airflow, Jenkins, Pinecone, Weaviate

Keywords for Your Resume

manager data engineeringremotegcpgoogle cloud platformdata pipelinesdataformdataflowairflowjenkinspythonjavascriptsparksqlbigquerypineconeweaviatehl7fhirehrhealthcarecare datagenerative ai

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Manager, Data Engineering

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