Senior Data Engineer

Capgemini • Atlanta, GA

1d

About The Position

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

Requirements

• Deep expertise with core GCP services, including Compute Engine, GKE, Cloud Storage, BigQuery, and networking/security services.
• Strong cloud architecture skills, including designing highly available, fault-tolerant, and secure systems.
• Experience with cloud migration methodologies, hybrid cloud patterns, and workload modernization.
• Proficiency in DevOps practices, CI/CD, automation, and infrastructure-as-code tools such as Terraform or Deployment Manager.
• Knowledge of containers and orchestration, including Kubernetes, Anthos, and Docker.
• Strong security and compliance understanding, including IAM design, encryption strategies, and regulatory frameworks (e.g., GDPR, HIPAA).
• Excellent communication and stakeholder management skills, with the ability to translate business needs into architectural solutions.
• 7+ years of experience implementing technology solutions, including cloud architecture design and evaluation.
• 3+ years hands-on experience in application architecture, focusing on scalable and reliable cloud-native systems.
• 2+ years working directly with Google Cloud Platform in production environments.
• Experience managing clients or projects in cloud modernization or cloud-first initiatives.

Nice To Haves

• Google Professional Cloud Architect
• Google Professional Data Engineer

Responsibilities

• Design scalable, secure, and high-performance architectures using core GCP services such as Compute Engine, GKE, Cloud Storage, BigQuery, and App Engine.
• Lead cloud migration initiatives, including planning, workload assessment, and data/application migration strategies with minimal disruption.
• Implement cloud security and compliance controls, including IAM, encryption, logging, and adherence to regulatory frameworks.
• Optimize cloud workloads for cost, performance, and availability through monitoring, tuning, and architectural refinements.
• Collaborate with engineering, DevOps, security, and business teams to ensure architectural alignment and successful project delivery.
• Evaluate existing on-prem and cloud systems and recommend improvements or modernizations aligned with GCP best practices.
• Provide technical leadership and mentoring, supporting engineering teams on architectural decisions and cloud adoption patterns.
• Create documentation covering architectures, patterns, deployment processes, and operational guidelines.
• Leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders.

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: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees