GCP Data Engineer
About The Position
Naveera Technology LLC is seeking a Senior cum Lead GCP Data Engineer with over 5 years of experience to join their team. This is a full-time, remote position with general shift timings, supporting offshore and onsite teams. The role involves leading large-scale AWS-to-GCP cloud transformation initiatives, modernizing data platforms, ETL pipelines, and analytics ecosystems. The engineer will drive innovation across cloud-native data engineering, Data Lakehouse architectures, and next-generation Business Intelligence solutions, including migrating enterprise BI platforms from Qlik Sense to Looker.
Requirements
- Strong hands-on experience in Google Cloud Platform (GCP), including BigQuery, AlloyDB, Dataplex, Vertex AI, Pub/Sub, Cloud Run, IAM, VPC, Networking, and Cloud Security.
- Expertise in designing scalable, secure, and high-performance cloud architectures, integration patterns, microservices, and event-driven solutions.
- Experience in solution architecture, technical design documentation, architecture reviews (ARB), technical debt assessment, cost optimization, and performance tuning.
- Hands-on experience with Terraform, CI/CD pipelines, Infrastructure as Code (IaC), deployment automation, disaster recovery, and business continuity planning.
- Strong knowledge of cloud governance, data security, audit logging, exception handling, compliance frameworks, and cloud best practices.
- Proven ability to collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO, and business stakeholders to deliver scalable enterprise cloud solutions.
- Excellent communication and stakeholder management skills, with experience presenting architecture options, technical recommendations, cost-benefit analysis, and risk assessments to leadership and technical teams.
- Google Cloud Platform (GCP), including BigQuery, AlloyDB, Dataplex, Vertex AI, Pub/Sub, Cloud Run, IAM, VPC, Networking, and Cloud Security.
- Terraform, CI/CD pipelines (Azure DevOps), Infrastructure as Code (IaC)
Nice To Haves
- Experience with Azure DevOps for CI/CD pipelines.
Responsibilities
- Lead large-scale AWS-to-GCP cloud transformation initiatives.
- Work on enterprise Data Lakehouse and analytics modernization projects.
- Migrate enterprise BI platforms from Qlik Sense to Looker.
- Design scalable, secure, and high-performance cloud architectures, integration patterns, microservices, and event-driven solutions.
- Perform solution architecture, technical design documentation, architecture reviews (ARB), technical debt assessment, cost optimization, and performance tuning.
- Implement Terraform, CI/CD pipelines, Infrastructure as Code (IaC), deployment automation, disaster recovery, and business continuity planning.
- Ensure strong knowledge of cloud governance, data security, audit logging, exception handling, compliance frameworks, and cloud best practices.
- Collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO, and business stakeholders to deliver scalable enterprise cloud solutions.
- Present architecture options, technical recommendations, cost-benefit analysis, and risk assessments to leadership and technical teams.
Benefits
- Flexible remote work environment.
- Exposure to global enterprise customers.
- Collaborative, innovation-driven engineering culture.
- Continuous learning and certification opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
