PART TIME SENIOR DATABRICKS DATA ENGINEER / ARCHITECT

Peraton is a next-generation national security company that provides trusted solutions and technologies to protect the nation and its allies. They are seeking a Senior Databricks Data Engineer / Architect to design and build scalable Databricks Lakehouse solutions, optimize data pipelines, and integrate diverse data sources to support modernization and cloud initiatives.

Responsibilities:

• Architect and design Development, Test, Pre‑production, Production, and Disaster Recovery (DR) environments in AWS using Databricks
• Install, configure, and troubleshoot Databricks PVC deployments across all environments, and provide documentation for future installations
• Develop and optimize ETL/ELT pipelines using SQL, Python, and PySpark
• Ingest, transform, and integrate data from diverse enterprise sources
• Define data models, data quality rules, and observability standards
• Lead performance tuning, cost optimization, and reliability enhancements for Databricks workloads
• Collaborate with architects, product owners, and business stakeholders to deliver data solutions
• Provide guidance on Databricks and cloud best practices
• Deliver peer training and mentorship as needed
• Contribute to defining and implementing the target-state Databricks architecture
• Support the development of the Data Governance framework and operating model for the target state
• Assist Cybersecurity with security assessments, ATO readiness, and related approvals
• Perform advanced Databricks performance optimization (e.g., Z‑Ordering, partitioning, bucketing) and monitor system performance
• Support self-service analytics and BI platforms
• Apply CI/CD and DataOps best practices to data engineering workflows
• Mentor engineers, conduct code reviews, and promote engineering excellence
• Build enterprise-scale data systems enabling analytics and reporting initiatives
• Document data pipelines, system architecture, and technical processes to ensure maintainability and knowledge transfer

Requirements:

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• Experience in data engineering or a related field
• Hands-on experience with Databricks
• Cloud experience (AWS or Azure)
• Familiarity with CI/CD pipelines for data projects and automated deployment strategies
• Strong proficiency in SQL and Python for data processing and ETL development
• Familiarity with Agile/Scrum methodologies and Jira for project tracking
• Solid understanding of data modeling, warehousing, and performance optimization
• Must be a U.S. Citizen or Lawful Permanent Resident (LPR) with at least three consecutive years of U.S. residency from the date of legal entry as an LPR
• Must be able to obtain and maintain the required MBI clearance
• Experience with Agile/Scrum methodologies
• Enterprise data architecture experience
• ML workflows exposure
• Databricks / Cloud certifications
• Knowledge of data governance, compliance, and security best practices
• Active MBI Clearance