AWS & Databricks Platform Engineer

Capgemini • Atlanta, GA

5d • $80,000 - $95,000

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location : Charlotte, NCJob DescriptionWe are seeking a highly skilled AWS & Databricks Platform Engineer with strong experience in cloud infrastructure provisioning, security, automation, and data platform integration. The ideal candidate will possess deep knowledge of AWS services, Infrastructure-as-Code (IaC), serverless architecture, and Databricks workspace configuration, along with excellent communication and problem‑solving abilities.

Requirements

• Strong proficiency in AWS services such as CloudFormation (CFT), EC2, S3, Lambda, RDS, AWS SDK and CLI, and Terraform.
• Hands‑on experience with AWS IaC tools including AWS CloudFormation for automated cloud deployments.
• Solid understanding of serverless architecture and microservices, with practical experience designing scalable AWS solutions.
• Knowledge of AWS security best practices including IAM, VPC, encryption mechanisms, and network isolation.
• Experience applying data governance controls, audit logging, and compliance frameworks.
• Strong analytical and troubleshooting skills for debugging and optimizing AWS resource utilization.
• Effective communication skills for collaborating with technical and non‑technical stakeholders.

Responsibilities

• Set up Databricks workspaces in designated AWS regions.
• Configure networking components including VPCs, subnets, security groups, and secure connectivity.
• Implement storage and credential setups, such as KMS encryption keys for data security.
• Remediate WIZ security violations.
• Define and implement Role-Based Access Controls (RBAC) using Unity Catalog.
• Integrate Databricks with Client’s Identity Provider (SSO) and manage authentication flows.
• Validate external data access strategies and configure connectors for S3 and other data sources.
• Implement monitoring for cluster lifecycle management, cost optimization, and performance tuning.
• Troubleshoot platform issues and manage error resolution during execution.
• Apply data governance and ML/GenAI governance controls per enterprise policies.
• Ensure proper audit logging and lineage tracking for all data assets.
• Collaborate with internal teams including EADP, CTO, ESF to align with architectural strategy and organizational best practices.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed