Infrastructure Engineer- Databricks/Azure Security Architect

Job Description:

• Client is seeking an experienced Senior Data Security and 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:

• 12 plus 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.

Skills:

Note:

• Is this an onsite role? 2 days a week
• Location: 500 5th Ave N, Seattle WA 98109
• Is a drug screen required? Yes

Comments for Suppliers:

• Microsoft Azure Databricks (P4 - Expert)

A Submission format please complete in full:

First Middle Last Name

Bill rate:

OR Pay Rate:

Skill Highlights- please indicate the # of years on each of the following skills:

• Experience in data engineering, data architecture, or data security roles.
• 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
• 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.

Visa Status:

Has the candidate lived continuously in the USA for the past 5 years?

Location:

Availability to interview:

Availability to start:

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LinkedIn Profile:

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Last 4 of SSN:

MM/DD of birth:

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Proof of ID - please attach

Previous Client Experience (need manager name, group/LOB, if they were FTE or contractor, and dates)