Data Infrastructure Engineer

Duration: 6+ months Location: On-site 3-4 days/week in Seattle WA  

*** U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time. *** *** No Vendors/3rd parties. **  

Design and implement secure, scalable data solutions across the Databricks Lakehouse ecosystem, with emphasis on PHI/PII protection, data classification, governance, and secure AI-enabled data access. Lead architecture across Azure, modern table formats, data platforms, access controls, monitoring, and self-service analytics.

Requirements:

• 12+ years of experience in data engineering, data architecture, or data security roles.
• Databricks Lakehouse hands-on experience.
• PHI/PII data protection expertise.

Key Responsibilities:

• Design secure, scalable Databricks Lakehouse architectures for governed data workloads.
• Implement data classification, masking, encryption, minimization, and access-control frameworks.
• Architect interoperable data solutions using Delta Lake, Apache Iceberg, Azure, Snowflake, and related platforms.
• Build dashboards and monitoring frameworks for data security, governance, and platform performance.
• Enable AI/ML integrations and self-service analytics with secure data-access patterns.
• Develop scalable data applications and APIs while optimizing Spark workloads, caching, and query performance.

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