Lead GCP Data Engineer

🕒 3 days ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Naveera Technology LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Naveera Technology LLC is a technology consulting and engineering firm that helps businesses become AI-first by building production-ready data engineering, machine learning, generative AI, application development, and IT infrastructure solutions. The company delivers end-to-end services—from data pipelines and cloud infrastructure to GenAI model development, MLOps, and custom web/mobile enterprise applications—focused on turning raw data into actionable intelligence and scalable systems. Naveera serves industries such as digital health, fintech, e-commerce, and enterprise clients through global delivery, extended teams, and a center-of-excellence model.

📋 Description

• Lead large-scale AWS-to-GCP cloud transformation initiatives. • Work on enterprise Data Lakehouse and analytics modernization projects. • Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker. • Drive the modernization of data platforms, ETL pipelines, and analytics ecosystems. • Collaborate with engineering culture to deliver innovative cloud-native data engineering solutions.

🎯 Requirements

• 10+ Years of experience • 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.

🏖️ Benefits

• Lead large-scale AWS-to-GCP cloud transformation initiatives. • Work on enterprise Data Lakehouse and analytics modernization projects. • Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker. • Flexible remote work environment. • Exposure to global enterprise customers. • Collaborative, innovation-driven engineering culture. • Continuous learning and certification opportunities.