Data Platform Engineer

  • San Jose, CA
  • Posted 3 hours ago | Updated moments ago

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

AZURE
AWS
DATABRICKS
DATA
PLATFORM
MONGODB
VECTOR
AI AGENT
LANGCHAIN
AIRFLOW
KUBERNETES
ELASTIC KUBERNETES SERVICE
EKS

Job Details

Title: Data Platform Engineer
Location: San Jose, CA 95110 (Hybrid)
Duration: 06+ Months (possible extension)

Job Description:
  • Setup and maintain production-scale Databricks environments on public cloud platforms such as Microsoft Azure and AWS
  • Handle production-scale data storage platforms like ADLS and S3 for multiple tenant teams within our Data Platform
  • Coordinate production-scale microservices that support the daily operations of our data platform, including job scheduling, security, financial, and administrative services
  • Maintain enterprise-scale SQL Server and SSAS environments
  • Provide triage and mentorship to the team on various support issues raised by our tenants
  • Develop tools and automation solutions for configuration management, service deployments, monitoring, and alerting
  • Ensure security and privacy compliance, implementing Adobe Security & Compliance solutions to secure data in our data lake
  • Explore GenAI technologies to integrate technical improvements and improve user experience
  • Collaborate with various 3rd party vendors to resolve issues, conduct proof of concepts, and improve our product

Cloud Infrastructure Administration and Automation:
  • AWS
  • Azure
Proficiency in Storage Technologies:
  • ADLS Gen2
  • S3
  • MongoDB
  • Vector Databases
  • AI Agent Development and Maintenance:
  • Langchain
Setup and Operation:
  • Databricks
  • SQL Server & SSAS
  • Airflow
  • Azure Kubernetes Service or Elastic Kubernetes Service
Monitoring and Alerting:
  • DBX System Tables
  • Prometheus
  • Splunk
  • MLFlow
Maintenance:
  • Linux Servers
  • Kubernetes Environment
Operational Tools:
  • Jira
  • Service Now


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