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Data Security Databricks Architect

  • Data Security Databricks Architect job type Posted on: Oct 13, 2026
  • Data Security Databricks Architect experience level Sidram Technologies
  • Data Security Databricks Architect employment type 500 5Th Ave N, Washington
  • Data Security Databricks Architect employment type Onsite
  • Data Security Databricks Architect salary Full-time

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Job Title :

Data Security Databricks Architect

Job Type :

Full-Time

Job Location :

500 5Th Ave N Washington United States

Remote :

No

Jobcon Logo Job Description :

URGENT HIRING: SENIOR DATA SECURITY & DATABRICKS ARCHITECT

Job Title: Senior Data Security & Databricks Architect
Client: Accenture / Gates Foundation
Location: 500 5th Ave N, Seattle, WA 98109
Work Model: Hybrid 2 Days Onsite
Job Type: Contract
Work Authorization: W2 ONLY US CITIZENS ONLY
Experience: 12+ Years Overall Experience Required

Key Skills & Requirements:

  • Strong hands-on experience with Databricks Lakehouse
  • Data Security, Data Governance & Data Architecture
  • PHI/PII Protection, Data Classification & Compliance
  • Data Masking, Encryption & Data Minimization
  • Delta Lake, Apache Iceberg & Interoperable Data Architectures
  • Microsoft Azure Cloud Platform
  • Databricks with Snowflake Integration
  • RBAC, Access Control & Security Frameworks
  • AI/ML Integration & Self-Service Analytics
  • Python, SQL, PySpark & Scala
  • Databricks APIs, Data Applications & Performance Optimization
  • Dashboarding, Monitoring, Caching & Query Tuning

Jobcon Logo Position Details

Posted:

Oct 13, 2026

Reference Number:

6034-36897

Employment:

Full-time

City:

500 5Th Ave N

Job Origin:

CIEPAL_ORGANIC_FEED

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URGENT HIRING: SENIOR DATA SECURITY & DATABRICKS ARCHITECT

Job Title: Senior Data Security & Databricks Architect
Client: Accenture / Gates Foundation
Location: 500 5th Ave N, Seattle, WA 98109
Work Model: Hybrid 2 Days Onsite
Job Type: Contract
Work Authorization: W2 ONLY US CITIZENS ONLY
Experience: 12+ Years Overall Experience Required

Key Skills & Requirements:

  • Strong hands-on experience with Databricks Lakehouse
  • Data Security, Data Governance & Data Architecture
  • PHI/PII Protection, Data Classification & Compliance
  • Data Masking, Encryption & Data Minimization
  • Delta Lake, Apache Iceberg & Interoperable Data Architectures
  • Microsoft Azure Cloud Platform
  • Databricks with Snowflake Integration
  • RBAC, Access Control & Security Frameworks
  • AI/ML Integration & Self-Service Analytics
  • Python, SQL, PySpark & Scala
  • Databricks APIs, Data Applications & Performance Optimization
  • Dashboarding, Monitoring, Caching & Query Tuning

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