Senior GCP Engineer — AI & Data Platforms (Remote)

Relha LLC; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Deloitte is seeking an experienced GCP Engineer to join the AI & Data team in a role focused on building and supporting GCP-based data lake and data platform environments, including integrations.

You will translate technical designs into deployment steps, develop cloud-based data pipelines, and collaborate with delivery teams, architects, and stakeholders to ensure successful implementation and release readiness. Travel is limited.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
• 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation.
• Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform.
• Experience translating technical designs into implementation tasks and deployment steps.

Responsibilities

• Build, configure, and support GCP-based data lake and data platform environments, including integrations.
• Translate approved technical designs into implementation tasks, configurations, and deployment steps.
• Develop and support cloud-based data pipelines, platform components, and environment setup activities.
• Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness.
• Troubleshoot platform issues and support ongoing performance, stability, and operational needs.

Skills

Independent work

Team collaboration

Communication

Detail orientation

Relationship building

Project leadership

Interpersonal skills

Deadline management

Education

Bachelor's degree in CS/IT/CE or equivalent

Tools

GCP

Data platforms

Job description

Deloitte is seeking an experienced GCP Engineer to join the AI & Data team in a role focused on building and supporting GCP-based data lake and data platform environments, including integrations.

You will translate technical designs into deployment steps, develop cloud-based data pipelines, and collaborate with delivery teams, architects, and stakeholders to ensure successful implementation and release readiness. Travel is limited.