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Pay Rate: $77.46 - $79.57
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
- ssure 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: Proficient with following storage technologies: - DLS Gen2
- WS 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
- irflow and DAGs
- zure Kubernetes Service or Elastic Kubernetes Service
- Collibr
- Neo4J
- Metric Insights
Ability to setup monitoring and alerting with: - Databricks System Tables
- Prometheus
- Splunk
- ELK
- Power BI
Familiar with how to troubleshoot and maintain: - Servers with Linux system
- Kubernetes environment
Knowledge to operate with: Education: - BS in Computer Science, Computer Engineering, or similar.
Date Posted: 04 April 2025
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