Data Architect(Only US Citizens)

Sophus IT Solutions; Washington; On-site; USD 150,000 - 210,000; Full time

Job summary

Sophus IT Solutions seeks a Senior Data Security & Databricks Architect with 10+ years of experience in data engineering, data governance, and platform security. You will design secure, scalable data solutions within the Databricks Lakehouse, focusing on PHI/PII protection, data classification, and AI-enabled data access.

Key requirements include hands-on Databricks expertise, strong security knowledge, and proficiency in Python, SQL, and Spark.

Qualifications

• 10+ years of experience in data engineering, data architecture, or data security roles.
• Proven expertise in Databricks Lakehouse platform.
• Strong knowledge of PHI/PII data handling and data classification.

Responsibilities

• Design and implement secure, scalable data solutions within the Databricks Lakehouse.
• Ensure PHI/PII compliance and robust data governance across platforms.
• Collaborate with data engineering and security teams to build RBAC-based access controls and monitoring.

Skills

Databricks Lakehouse

PHI/PII handling

Data classification

RBAC access control

Python

SQL

Spark

PySpark/Scala

AI/ML integrations

Dashboards

Monitoring frameworks

Data governance

Cloud Azure

Tools

Apache Iceberg

Snowflake

Microsoft Azure

Databricks

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,