Platform Engineer

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v4c.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.

📋 Description

• Design, secure, and optimize our enterprise data infrastructure • Own the foundational architecture of our Databricks Lakehouse • Manage architecture, deployment, and daily support of Databricks Workspaces • Implement Unity Catalog for data lineage and access control • Design global cluster policies for user agility and cost balance • Optimize Spark configurations, storage layouts, and query speeds • Productionize cutting-edge capabilities like Databricks Genie and Lakehouse Apps

🎯 Requirements

• 8+ years in Platform, DevOps, or Data Infrastructure Engineering • 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 • Ability to bridge the gap between Data Science teams and IT security • Strong root-cause analysis skills for complex, distributed computing issues.