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    GCP Data Architect - Redmond, United States - Insight Global

    Insight Global
    Insight Global Redmond, United States

    2 weeks ago

    Insight Global background
    Description

    Job Description:


    The ideal candidate will have extensive experience with Google Cloud Platform (GCP) and a strong background in designing, implementing, and managing data architectures for large-scale healthcare projects.

    This role requires a deep understanding of healthcare data standards, security, and compliance regulations.


    Key Responsibilities:

    Data Architecture Design:
    Design and implement scalable, secure, and efficient data architectures on GCP to support healthcare applications and data analytics.


    Healthcare Data Management:

    Ensure the proper handling, storage, and integration of healthcare data, adhering to industry standards such as HIPAA, HL7, HL7v2, FHIR, and other relevant regulations.


    Data Integration:
    Develop and manage data integration processes, including ETL/ELT pipelines, to integrate data from various sources (e. g., EHRs, clinical systems, IoT devices) into a unified data platform.


    Cloud Infrastructure Management:

    Oversee the deployment and management of GCP services, including BigQuery, Health Data Engine, DataFlow, Composer, Cloud Storage, Cloud Pub/Sub, Dataflow, and AI/ML services.


    Data Governance:
    Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security across the organization. Translating governance requirements in to metadata and data catalog design

    Team Leadership:

    Lead and mentor a team of data engineers, analysts, and architects, providing technical guidance and fostering a culture of continuous learning and improvement.


    Stakeholder Collaboration:

    Collaborate with cross-functional teams, including healthcare professionals, product managers, and business analysts, to understand data requirements and deliver effective data solutions.


    Performance Optimization:
    Monitor and optimize the performance of data systems, ensuring high availability, reliability, and scalability.


    BI Services:
    Design and development of semantic layers to be utilized by BI tools such as Looker and Tableau


    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

    com.

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
    .

    Experience with healthcare-specific data platforms and tools such as EPIC.
    Certification in GCP or other cloud platforms.
    Knowledge of machine learning and AI applications in healthcare.


    Most important experience:

    • 4+ years of recent handson experience implementing big query data in GCP.
    • Experience working in healthcare industry along with HL7, HL7v2, FHIR standard data formats.

    MH:

    Experience:

    • Minimum of 710 years of experience in data architecture and data management.
    • Proven experience with GCP services and tools.
    • Strong understanding of healthcare data standards and regulations.

    Technical Skills:

    • Proficiency in GCP services, including BigQuery, Health Data Engine, Cloud Storage, Cloud Pub/Sub, Dataflow, and AI/ML services.
    • Experience with data modeling, database design, and data warehousing.
    • Strong programming skills in SQL, Python, or other relevant languages.
    • Knowledge of ETL/ELT processes and tools.
    • Familiarity with data governance and security best practices.

    Leadership Skills:

    • Demonstrated ability to lead and mentor technical teams.
    • Excellent communication and collaboration skills.
    • Strong problemsolving and analytical skills.
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