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[Remote] Platform Engineer

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. v4c.ai is seeking a Senior Platform Engineer to design, secure, and optimize their enterprise data infrastructure. The role involves owning the foundational architecture of the Databricks Lakehouse to ensure efficient building within a secure and high-performance ecosystem.

Responsibilities

  • Infrastructure Management: Architecture, deployment, and daily support of enterprise Databricks Workspaces
  • Data Governance: Full implementation of Unity Catalog for data lineage and access control
  • Guardrails & Governance: Designing global cluster policies to balance user agility with cost
  • Performance Tuning: Optimizing complex Spark configurations, storage layouts, and query speeds
  • Innovation Delivery: Productionizing cutting-edge capabilities like Databricks Genie and Lakehouse Apps

Skills

  • Advanced Databricks administration (Workspaces, Unity Catalog, Delta Lake)
  • Strong experience with AWS, Azure, or GCP via Terraform (IaC)
  • Deep knowledge of Apache Spark internals and Spark UI tuning
  • Implementing Role-Based Access Control (RBAC) and data masking
  • Building automated deployment tracks using Git, GitHub Actions, or GitLab CI
  • 8+ years in Platform, DevOps, or Data Infrastructure Engineering
  • Ability to bridge the gap between Data Science teams and IT security
  • Strong root-cause analysis skills for complex, distributed computing issues

Company Overview

  • v4c.ai specializes in AI and machine learning solutions that operate as a dataiku service integrator. It was founded in undefined, and is headquartered in Scottsdale, Arizona, USA, with a workforce of 51-200 employees. Its website is https://www.v4c.ai.
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