Sophus IT Solutions Data Architect(Only US Citizens)

Job highlights
Identified by Google from the original job post
Qualifications
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
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:
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
Responsibilities
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
Job description
Please review the below JD:

Role: Senior Data Security & Databricks Architect

Location: 500 5th Ave N, Seattle WA 98109

Need only local candidates

Is US citizenship required? Yes

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.

Regards,

Mohamed Ijaz | Sr. US & Canada IT Recruiter

+1 4254721606

mohamed@Sophusinfo.com

Mohamed Ijaz khan | LinkedIn

Sophus IT Solutions

USA | CANADA | INDIA

www.sophusinfo.com

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