Data Architect(Only US Citizens)

Sophus IT Solutions; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Sophus IT Solutions seeks a Senior Data Security & Databricks Architect to design and implement secure, scalable data solutions in the Databricks Lakehouse. The role emphasizes PHI/PII protection, data classification, and AI-enabled data access.

You will work with Azure and integrate Databricks with Snowflake or similar platforms, ensuring robust RBAC and governance. Ideal candidates have 10+ years in data engineering, architecture, or security, with strong Python/SQL and Spark skills, and

Qualifications

• 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 and RBAC implementations.
• Proficiency in Python, SQL, and Spark (PySpark/Scala).
• Experience integrating Databricks with Snowflake or similar platforms.
• Hands-on experience building data dashboards and monitoring within Databricks.

Responsibilities

• Design and implement secure, scalable data solutions within the Databricks Lakehouse ecosystem.
• Protect PHI/PII data and enforce data classification and compliance.
• Enable self-service analytics with AI/ML integrations and robust access controls.

Skills

Databricks Lakehouse

RBAC

Python

SQL

Spark

Azure

PHI/PII handling

Data Classification

Data Governance

AI/ML integrations

Tools

Snowflake

Apache Iceberg

Job description

Role: Senior Data Security & Databricks Architect

Location: 500 5th Ave N, Seattle WA 98109

Need only local candidates

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.

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:
• Experience working with modern table formats:
• Apache Iceberg
• 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,