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.
Skills Required
- Advanced Databricks administration (Workspaces, Unity Catalog, Delta Lake)
- Experience with AWS, Azure, or GCP via Terraform (Infrastructure as Code)
- Deep knowledge of Apache Spark internals and Spark UI tuning
- Implementing Role-Based Access Control (RBAC) and data masking for security and compliance
- Building CI/CD pipelines using Git, GitHub Actions, or GitLab CI
- 8+ years in Platform, DevOps, or Data Infrastructure Engineering
- Ability to collaborate between Data Science teams and IT security
- Strong root-cause analysis skills for distributed computing issues
- Experience productionizing Databricks capabilities (e.g., Databricks Genie, Lakehouse Apps)
v4c.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about v4c.ai and has not been reviewed or approved by v4c.ai.
-
Flexible Benefits — Flexible work arrangements, including remote-first and hybrid options, are highlighted across roles and company materials. Flexibility is positioned as part of the benefits package supporting work–life balance.
-
Wellbeing & Lifestyle Benefits — Wellbeing offerings such as wellness programs and regular social events are explicitly called out. These lifestyle benefits are framed as supporting employee happiness.
-
Healthcare Strength — Comprehensive health insurance plans are stated as part of the package. Health coverage is presented as a core benefit alongside wellness support.
v4c.ai Insights
What We Do
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
