Tcs Hiring | Databricks Platform Architect | PAN India | 12 To 18 yrs

TCS Hiring: Databricks Platform Architect | PAN India | 12 to 18 Years

We are seeking an experienced Databricks Platform Architect to lead enterprise-scale Databricks platform setup, modernization, governance, and cloud transformation initiatives.

The ideal candidate should possess strong expertise in Databricks Architecture, Cloud Infrastructure, Lakehouse Platforms, Data Governance, DevOps Automation, and Enterprise Data Platforms, along with proven experience delivering large-scale platform implementations.

Experience

• 12 to 18 years of overall IT experience
• 4 to 8+ years of hands-on Databricks experience
• Experience in multiple enterprise-scale Databricks implementations
• Strong client-facing and solutioning experience

Mandatory Skills

• Strong Databricks Platform Architecture experience
• Strong PySpark, Delta Lake, and Cloud (AWS/Azure/GCP) experience
• Proven Data Migration and Modernization experience
• Strong Data Architecture and Data Governance expertise
• Hands-on experience in Greenfield Databricks implementations
• Terraform and Infrastructure as Code (IaC) experience
• CI/CD, DevOps, and Platform Automation expertise
• Client-facing consulting and stakeholder management experience

Key Responsibilities

• Architect and deploy enterprise-grade Databricks platforms across AWS, Azure, and GCP
• Design multi-environment architecture (Dev, QA, UAT, Prod)
• Implement Unity Catalog, governance, security, lineage, and compliance frameworks
• Lead cloud migration and data modernization initiatives
• Establish scalable Lakehouse Architecture using Delta Lake
• Define infrastructure automation using Terraform
• Implement DevOps, CI/CD, and deployment automation frameworks
• Optimize cluster strategies, platform performance, scalability, and cost controls
• Set up monitoring, observability, alerting, and operational frameworks
• Collaborate with business stakeholders and delivery teams to define enterprise data solutions

Required Technical Skills

Databricks: Unity Catalog, Delta Lake, Workflows, Cluster Policies, Auto Scaling, Lakehouse Architecture

Cloud Platforms: AWS, Azure, GCP

Programming: PySpark, Python, SQL

Infrastructure & Automation: Terraform, GitHub, Azure DevOps, Jenkins, CI/CD

Governance & Security: RBAC, ABAC, Data Lineage, Data Masking, Encryption, Secrets Management

Monitoring & Observability: Datadog, Azure Monitor, CloudWatch