Duration: 6+ months Location: On-site 2days/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.
26-00883
Numbers & Facts
Location
Seattle, WA
Skills
Access Controlunmatched
Apacheunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cachingunmatched
Cryptographyunmatched
Data Formatsunmatched
Ecosystemsunmatched
Information/Data Security (InfoSec)unmatched
Interoperabilityunmatched
Microsoft Windows Azureunmatched
Reporting Dashboardsunmatched
Scalable System Developmentunmatched
Software Developmentunmatched
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