GCP API Architect

Minor Hotels Europe and Americas

GCP API Solution Architect at Capgemini leading data platforms on Google Cloud. Focusing on API-driven solutions for enterprise analytics, integration, and AI use cases.

Posted 5/23/2026full-timeRemote • Tennessee, Texas • 🇺🇸 United StatesSeniorLead💰 $88,544 - $207,401 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformSparkSQLTerraform

About the role

Key responsibilities & impact

Lead end-to-end solution and API architecture for cloud data platforms on Google Cloud Platform
Define and govern reference architectures, API patterns, and best practices for data ingestion, processing, storage, and analytics
Architect and guide implementation of batch and streaming pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer
Design API-led integration architectures using Apigee and cloud-native services
Enable modern data lakehouse and data warehouse architectures aligned with analytics, reporting, and AI/ML use cases
Ensure alignment with data governance, quality, lineage, security, and compliance standards
Design infrastructure using Infrastructure as Code (IaC) tools such as Terraform
Collaborate with platform teams on CI/CD, DataOps, monitoring, and operational excellence
Apply GCP security best practices including IAM, networking, encryption, and compliance
Partner with business and technology stakeholders to translate business needs into scalable technical solutions
Act as a trusted advisor for cloud data modernization and GCP best practices
Support solution design activities including architecture reviews, estimates, and technical proposals

Requirements

What you’ll need

10+ years of overall IT experience with 5+ years in cloud data architecture
Proven experience designing and delivering GCP-based data and API platforms
Strong background in large-scale enterprise data programs
Deep expertise in Google Cloud Platform, including: BigQuery, Cloud Storage Dataflow (Apache Beam), Pub/Sub Dataproc (Spark), Composer (Airflow)
Strong experience with API architecture and management, including Apigee
Solid understanding of data modeling, ETL/ELT, streaming architectures, and SQL
Experience with CI/CD pipelines, Terraform, and DataOps practices
Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
Google Professional Data Engineer – Preferred
Google Professional Cloud Architect – Preferred
Strong communication and stakeholder management skills
Ability to explain complex technical concepts to both technical and non-technical audiences
Experience working with global and distributed teams
Passion for innovation, engineering excellence, and continuous improvement

Benefits

Comp & perks

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade,
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

API architecturecloud data architecturedata modelingETLELTstreaming architecturesSQLdata ingestiondata processingdata storage

Soft Skills

communicationstakeholder managementcollaborationtechnical explanationinnovationengineering excellencecontinuous improvement

Certifications

Google Professional Data EngineerGoogle Professional Cloud Architect