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Cloud Platform Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedite Talent Solutions
Part Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Big Data
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 Qualifications
  • 10+ years of experience in data engineering, data architecture, or data security roles.
  • Strong hands‑on experience with the 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:
    • 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.

Location:

500 5th Ave N, Seattle, WA 98109. This is an onsite role (2 days a week).

US citizenship required:
Yes

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