Senior Data Security & Databricks Architect
Seattle, OR - USA
Job Summary
Key qualification requirements:
10 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.
Regards
Mohammed ilyas
PH - or text - or you can share the updated resume at com
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
About Company
20 employees
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