# Platform Engineer

**Company:** [V4C.ai](http://jobs.workable.com/companies/kb5Wja5n4RGDc2pq5FujAz.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract

[Apply for this job](http://jobs.workable.com/view/68f6f509-a278-40b7-8477-d2687ed3e342)

## Description

**Role Overview**

We are seeking a Senior Platform Engineer to design, secure, and optimize our enterprise data infrastructure. You will own the foundational architecture of our Databricks Lakehouse, ensuring data teams can build efficiently within a secure, high-performance, and cost-controlled ecosystem.

**Key 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.

**Required Technical Skills**

-   **Data Platform**: Advanced Databricks administration (Workspaces, Unity Catalog, Delta Lake).
-   **Cloud Infrastructure**: Strong experience with AWS, Azure, or GCP via Terraform (IaC).
-   **Compute Optimization**: Deep knowledge of Apache Spark internals and Spark UI tuning.
-   **Security & Compliance**: Implementing Role-Based Access Control (RBAC) and data masking.
-   **CI/CD Pipelines**: Building automated deployment tracks using Git, GitHub Actions, or GitLab CI.

**Soft Skills & Qualifications**

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