Senior Databrick Architect

Vdart Inc

  • Washington, WA
  • 22 days ago

    Highlights

    This role focuses on designing and implementing secure, scalable data solutions within the Databricks Lakehouse ecosystem, with a strong emphasis on PHI/PII protection, data classification, and AI-enabled data access. We are seeking an experienced Senior Data Security & Databricks Architect with over 10 years of expertise in data engineering, data governance, and platform security.

    Numbers & Facts

    LocationWashington, WA

    Description

    Job Title: Senior Databrick Architect

    Location: Seattle, WA 98109 (2 Days/Week)

    Duration: 6 Months

    • We are seeking an experienced Senior Data Security & Databricks Architect with over 10 years of expertise in data engineering, data governance, and platform security.
    • This role focuses on designing and implementing secure, scalable data solutions within the Databricks Lakehouse ecosystem, with a strong emphasis on PHI/PII protection, data classification, and AI-enabled data access.

    Key qualification requirements:

    • 10+ years of experience in data engineering, data architecture, or data security roles.
    • Strong hands-on experience with Databricks Lakehouse platform.
    • Proven expertise in PHI/PII data handling, data classification, and compliance frameworks.
    • Deep knowledge of data security techniques, including:
    • Data masking
    • Encryption
    • Data minimization

    Experience working with modern table formats:

    • Delta Lake
    • Apache Iceberg
    • Interoperable data architectures
    • Strong understanding of cloud platforms, especially Microsoft Azure.
    • Experience integrating Databricks with Snowflake or similar data platforms.
    • Hands-on experience building data dashboards and monitoring frameworks within Databricks.
    • Expertise in RBAC implementation and access control frameworks.
    • Experience with AI/ML integrations and enabling self-service analytics platforms.
    • Proficiency in Python, SQL, and Spark (PySpark/Scala).
    • Experience building scalable data applications and APIs within Databricks.
    • Strong knowledge of performance optimization techniques, including caching and query tuning.

    Key Skills: Data Architect, Azure, Databricks Lakehouse, PHI, RBAC, AI/ML

    Similar Jobs