Databricks Platform Engineer

Wise Skulls llc
Eatontown, United States of America
3 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Eatontown, United States of America

Tech stack

API
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
DevOps
Role-Based Access Control
Power BI
Data Streaming
Workflow Management Systems
Google Cloud Platform
Spark
Data Lake
Terraform
Databricks

Job description

  • Databricks platform architecture & optimization
  • Cluster management & workspace setup
  • Platform scalability, reliability & cost optimization
  • Developer enablement & troubleshooting
  • Governance, compliance & monitoring
  • Automation, provisioning & operational excellence

Requirements

We are looking for an experienced Databricks Platform Engineer with strong expertise in Databricks architecture, Spark, cloud platforms, governance, and platform engineering. The ideal consultant should have hands-on experience supporting enterprise-scale data workloads and enabling engineering teams through automation, CI/CD, and best practices., * 5+ years of Data/Platform Engineering experience

  • 3+ years of hands-on Databricks experience
  • Strong Apache Spark knowledge
  • Experience with Azure (preferred) / AWS / Google Cloud Platform
  • Delta Lake & Data Lake Architecture
  • Unity Catalog, RBAC, Governance & Security
  • CI/CD, DevOps & Terraform
  • Batch & Streaming Frameworks
  • Integration with APIs, Power BI, orchestration tools, ️ Note: Candidates must be comfortable working onsite 5 days/week in Eatontown, NJ. Strong platform engineering experience within Databricks environments is mandatory.

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