GCP Data Architect

xebiacee; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

xebiacee is seeking a seasoned Data Platform Architect to design a modern data platform on Google Cloud, blending hands-on solution design with architectural guidance and workshops involving technical and business stakeholders.

You will define end-to-end data ingestion and processing designs, model data flows, and establish disaster recovery, data retention, CI/CD and infrastructure-as-code practices while producing architecture diagrams and decision records to guide delivery teams.

Qualifications

• Experience designing data architectures and end-to-end data processing on Google Cloud.
• Knowledge of BigQuery and either dbt or Dataproc.
• Experience with data modeling and data-flow design, including Medallion or Hub-and-Spoke patterns.
• Familiarity with Pub/Sub, Cloud Storage, Composer, and Dataproc and service integration.
• Experience with GitHub Enterprise Cloud, CI/CD, and Terraform.
• Clear communication skills and ability to present architectural decisions.

Responsibilities

• Define end-to-end data ingestion and processing designs using Google Cloud services.
• Model data flows and design platform architectures, including synchronous, asynchronous, and event-driven integrations.
• Establish approaches for disaster recovery, data retention, CI/CD, and infrastructure as code.
• Produce architecture diagrams and high-level, low-level, and decision-record documentation.
• Facilitate architecture workshops and explain technology choices to stakeholder groups.

Skills

Data platform architecture

Google Cloud

Communication

Workshop facilitation

Documentation

Tools

BigQuery

dbt

Dataproc

Pub/Sub

Cloud Storage

Composer

Terraform

GitHub Enterprise Cloud

Job description

Role overview

Design the architecture of a modern data platform on Google Cloud, from data flows and integrations to operational safeguards. The role combines hands-on solution design with architectural guidance, documentation, and workshops involving technical and business stakeholders.

Responsibilities

• Define end-to-end data ingestion and processing designs, selecting suitable Google Cloud services.
• Model data flows and design platform and application architectures, including synchronous, asynchronous, and event-driven integrations.
• Establish approaches for disaster recovery, data retention, CI/CD, and infrastructure as code.
• Produce architecture diagrams and high-level, low-level, and decision-record documentation.
• Facilitate architecture workshops and explain technology choices to stakeholder groups.

Requirements

• Demonstrated experience designing data architectures and end-to-end data processing on Google Cloud.
• Knowledge of BigQuery and either dbt or Dataproc.
• Experience with data modeling, data-flow design, and patterns such as Medallion or Hub and Spoke.
• Familiarity with services such as Pub/Sub, Cloud Storage, Composer, and Dataproc, including service integration.
• Experience with GitHub Enterprise Cloud, CI/CD, and Terraform.
• Clear communication skills and experience presenting and defending architectural decisions.

Nice to have

• Experience with enterprise-scale cloud data platforms or highly regulated environments.
• Familiarity with cloud governance, security, and operational practices.

Benefits and work setup

• Must work from within the European Union and hold a valid work permit.