eTeam

Data Security & Databricks Architect

Check with seller / month
Seattle, Washington, United States IT Engineer & Developer Active
Actively Hiring Seattle Full Time
Advertisement
Verified Listing
Direct Apply — No Agent
Your Data is Safe
Trusted by 5 Lakh+ Jobseekers

Job at a Glance

Category
IT Engineer & Developer
Location
Seattle, Washington, United States
Salary
Check with seller
Job Type
Full Time
Company
eTeam
Status
Open & Active

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.
Ready to take the next step?

Don't wait — new applications are being reviewed daily.

Login & Apply Free
Job Safety Alert Real jobs on Jobsiya are always free. Never pay for an interview and never share bank or OTP details. Report this job →