Job Description
Job Title: Data Security & Databricks Architect
Location: Seattle, WA
Duration: 06 Months
Pay Range: $(68.00 - 70.00)/hr on W2 all-inclusive without benefits
Hybrid: 2 Days Onsite, 3 Days Remote
Job Description:
• We are seeking an experienced Senior Data Security & 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:
• 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.
Location: Seattle, WA
Duration: 06 Months
Pay Range: $(68.00 - 70.00)/hr on W2 all-inclusive without benefits
Hybrid: 2 Days Onsite, 3 Days Remote
Job Description:
• We are seeking an experienced Senior Data Security & 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:
• 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Security & Databricks Architect position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
