Lead gcp data architect

Greetings of the day!!

I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with Naveera Technology LLC. I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn:https://www.linkedin.com/in/arumugamv/

About Naveera Technology LLC

Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development, and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting, we help organizations transform raw data into actionable business value.

With a team of 100+ employees and successful delivery of 3+ global projects, Naveera serves clients across multiple industries and geographies through agile delivery models and proven engineering practices.

From Digital Health and Financial Services to E-Commerce and Technology, we support a diverse client base and back every engagement with proven frameworks, low-attrition teams, and scalable global delivery capabilities. At Naveera, we empower organizations to turn challenges into opportunities, data into insights, and innovative ideas into enterprise-grade platforms.

Specialties

• Data Engineering & Modern Data Stack
• Generative AI Solutions & Model Deployment
• Application Development (Web, Mobile & Enterprise)
• Artificial Intelligence (Predictive, Conversational, Computer Vision)
• IT Infrastructure Services (Cloud & On-Prem)
• Security, DR, Cloud Transformation & Microservices
• DevOps, API & Systems Integration
• Extended Technology Teams & Dedicated Delivery
• Real-Time Streaming & Analytics
• BI & Data Warehousing

Job Title:

Lead GCP Data Architect

Experience Required:

10+ Years

Working Mode:

Remote

Job Type:

Full-Time

Shift:

General Shift Timing (Support Offshore & Onsite Teams)

Location:

USA (East Coast Preferred)

Required Technical Skills – Cloud Solution Architecture (GCP)

• 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.

Tasks

• Hands-on experience with Terraform, CI/CD pipelines (Azure DevOps), 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.

Requirements

Required Skills:

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)

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.

Join Naveera Technology LLC and play a pivotal role in delivering enterprise-scale AWS-to-GCP cloud transformation programs. Lead the modernization of data platforms, ETL pipelines, and analytics ecosystems while driving innovation across cloud-native data engineering, Data Lakehouse architectures, and next-generation Business Intelligence solutions.