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.

About the role

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.

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.

Requirements

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