Lead GCP Data Architect

🔥 12 hours 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

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

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

• Collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO. • Deliver scalable enterprise cloud solutions. • Provide architectural options and technical recommendations. • Conduct cost-benefit analysis and risk assessments. • Lead the modernization of data platforms, ETL pipelines, and analytics ecosystems.

🎯 Requirements

• 10+ Years • 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). • Strong hands-on experience in Google Cloud Platform (GCP). • Experience in solution architecture, technical design documentation, architecture reviews (ARB). • Proven ability to collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO, and stakeholders.

🏖️ 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.