Data Platform Engineer Job ID: 25-07450 Job Title: Data Platform Engineer Location: San Jose, CA 95110 Duration: 4 months Contract Type: W2 only Pay Rate: $79.58/hour Duties: * Setup and maintain production scale Databricks environment on public cloud such as Microsoft Azure and AWS (Amazon Web Services) * Setup and maintain production scale data storage such as ADLS (Azure Data Lake Storage) and AWS S3 for multiple tenant teams using our Data Platform * Setup and maintain production scale micro services to support the daily operation of our data platform. Services include job scheduling, security, financial, and administrative services, etc. * Provide triage and guidance to the team on various support issues raised by our tenants * Develop tools and automation solutions for configuration management, service deployments, monitoring, and alerting to assist with daily RTB (Running the Business) operations * Budget and monitor cloud spend, always think of ways to avoid cloud resource wastage, utilize 3rd party tools, or develop your own tools to help the team with cost optimization * Assure security and privacy compliance and implement Adobe Security & Compliance solutions to lock down data stored in our data lake * Explore GenAI technologies and find opportunity to integrate them with our data platform, providing platform enhancement or improving platform user experience in the end * Work with various 3rd party vendors for troubleshooting, proof of concept, and other collaborative projects to enhance our product. Skills: * Cloud Infrastructure Administration and Automation: AWS, Azure * Proficient with following storage technologies: ADLS Gen2, AWS S3, Hive or MySQL, MongoDB, Vector Databases * Setup, troubleshoot and maintain following technologies: Databricks Workspace, includes but not limited to - Unity Catalog, Vector Search, SQL Warehouse, Serverless Compute, Spark workloads, Airflow and DAGs, Azure Kubernetes Service or Elastic Kubernetes Service, Collibra, Neo4J, Metric Insights * Ability to setup monitoring and alerting with: Databricks System Tables, Prometheus, Splunk, ELK, PowerBI * Familiar with how to troubleshoot and maintain: Servers with Linux system, Kubernetes environment * Knowledge to operate with: Jira, Service Now Education: BS in Computer Science, Computer Engineering, or similar * Job details *