AWS & Databricks Engineer

Position Title : AWS & Databricks Engineer

Location : Charlotte, NC (Onsite/Hybrid)

Experience : 8 Years

Employee Type : Full Time with Benefits

Job Description

We are seeking a highly skilled AWS & Databricks 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.

Technical Skills & Qualifications

• 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.

Key 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.
• Ensure compliance with enterprise security standards and governance controls.
• Validate external data access strategies and configure connectors for S3 and other data sources.
• Enable ingestion frameworks and orchestrate notebooks for end‑to‑end data pipelines.
• Support CI/CD deployment pipelines for Databricks notebooks and jobs.
• 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.
• Document configurations, processes, architectural decisions, and operational runbooks for future reference.

If your Interested, Kindly, share us your resume on abuzar.umar@capgemini.com

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80,231 to $90,458 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.