Data Engineer

Senior Data Engineer A Google Cloud Solution Architect is responsible for designing, developing, and implementing scalable, secure, and cost-optimized cloud solutions on Google Cloud Platform (GCP). They work closely with business stakeholders to translate requirements into technical architectures, lead cloud migrations, and ensure alignment with best practices in security, performance, and governance. The architect evaluates existing systems, recommends cloud-based improvements, and provides technical leadership across teams, ensuring cloud solutions support organizational goals and operate reliably in production environments. They function as a strategic and technical expert, guiding cloud adoption, overseeing architecture decisions, and ensuring that deployments follow industry standards and enterprise policies. Key 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. Required Key Skills 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. Commensurate Experience Requirements 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. Preferred Certifications Google Professional Cloud Architect Google Professional Data Engineer" Job Description 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. Job Description - Grade Specific 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. The base compensation range for this role in the posted location is $86,900 to $208,800. Capgemini provides

incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: + 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 Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject