GCP Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead extensive AWS-to-GCP cloud transformation projects.

• Enhance data platforms, ETL pipelines, and analytics frameworks.

• Create scalable, secure, and high-performance cloud architectures.

• Develop integration patterns, microservices, and event-driven solutions.

• Generate technical design documentation and engage in architecture reviews (ARB).

• Evaluate technical debt, streamline cloud costs, and optimize performance.

• Implement Terraform, CI/CD pipelines, Infrastructure as Code, deployment automation, disaster recovery, and business continuity planning.

• Enforce cloud governance, data security, audit logging, exception handling, compliance frameworks, and cloud best practices.

• Collaborate with Product Managers, Business Analysts, DevOps, Engineering, PMO, and business stakeholders.

• Present architecture options, technical recommendations, cost-benefit analyses, and risk assessments to leadership and technical teams.

⛳️ Requirements

• Over 5 years of experience in the field.

• Strong practical experience with Google Cloud Platform (GCP).

• Familiarity with BigQuery, AlloyDB, Dataplex, Vertex AI, Pub/Sub, Cloud Run, IAM, VPC, networking, and cloud security.

• Proficiency in designing scalable, secure, and high-performance cloud architectures.

• Experience with integration patterns, microservices, and event-driven solutions.

• Background 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 understanding of cloud governance, data security, audit logging, exception handling, compliance frameworks, and cloud best practices.

• Ability to work collaboratively with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO, and business stakeholders.

• Excellent communication and stakeholder management abilities.

• Experience in presenting architecture options, technical recommendations, cost-benefit analyses, and risk assessments.

• General availability to support offshore and onsite teams.

• Preference for candidates located on the East Coast.

🏝️ Benefits

• Flexible remote work environment.

• Exposure to global enterprise customers.

• Collaborative, innovation-driven engineering culture.

• Continuous learning and certification opportunities.

• Opportunity to work on enterprise Data Lakehouse and analytics modernization projects.

• Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker.