GCP Data Engineer Lead

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Job Description

A  GCP Data Engineer Lead 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. [youtube.com]
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"

The base compensation range for this role in the posted location is:$150,000- $170,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compe