Data Platform Engineer

You'll be joining Adobe on a contract opportunity, employed through NextDeavor.

Benefits You'll Love

• NextDeavor offers health, vision and dental benefits for contract employees
• Paid sick leave eligibility is contingent on state of residence
• Optional 401k Plan (excludes employer match)
• Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

Become a Key Player as a Data Platform Engineer

As a Data Platform Engineer, you will build and operate production-scale Databricks and data services that power Adobe's IDS Data Platform. You'll support multiple tenant teams, coordinating storage, microservices, security, and compliance while triaging issues and mentoring teammates. This is a staffing contract covering a leave of absence, 40 hours per week, expected from 12/12/2025 to 06/26/2026 in San Jose, CA.

Here's How You'll Make an Impact on the Team

• Set up and maintain production-scale Databricks environments on Microsoft Azure and AWS.
• Manage production-scale data storage platforms (ADLS and S3) for multiple tenant teams.
• Coordinate production microservices for job scheduling, security, financial, and administrative services.
• Maintain enterprise-scale SQL Server and SSAS environments.
• Triage support issues raised by tenant teams and provide mentorship to teammates.
• Develop tools and automation for configuration management, service deployments, monitoring, and alerting.
• Ensure security and privacy compliance, implementing Adobe Security & Compliance solutions to secure data in the data lake.
• Explore GenAI technologies to integrate technical improvements and enhance user experience.
• Collaborate with third-party vendors to resolve issues, run proofs of concept, and improve the product.

Here's What You'll Need to Be Successful in This Role

• BS in Computer Science, Computer Engineering, or equivalent experience.
• Cloud infrastructure administration and automation experience on AWS and Azure.
• Proficiency with storage technologies: ADLS Gen2, S3, MongoDB, and vector databases.
• Experience setting up and operating Databricks, SQL Server & SSAS, and Airflow.
• Experience with Azure Kubernetes Service (AKS) or Elastic Kubernetes Service (EKS) and Kubernetes.
• Monitoring and alerting tools: DBX system tables, Prometheus, Splunk, and MLflow.
• Experience maintaining Linux servers and Kubernetes environments.
• Operational tools: Jira and ServiceNow.
• Experience with AI agent development and maintenance (e.g., LangChain).

Pay Range

$ $79.56/hour

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.