GCP Data Engineering Technical Architect

ClifyX; Bentonville (AR); On-site; USD 160,000 - 230,000; Full time

Job summary

ClifyX is seeking a senior GCP Data Engineering Technical Architect in the United States to lead the architecture and design of scalable, cloud-based data solutions in the Retail domain. The candidate should have strong hands-on expertise in GCP, Spark, Airflow, and Java, with experience in enterprise-scale data processing and integration.

The role combines solution architecture, technical leadership, hands-on engineering, and client-facing communication.

Qualifications

• 15+ years of experience in technical architecture.
• Hands-on data engineering and cloud design leadership.
• Retail domain knowledge or experience is a plus.

Responsibilities

• Define and drive the end-to-end technical architecture for cloud-based data and applications on GCP, Spark, Airflow and Java.
• Define architecture standards, design patterns, integration approaches, security considerations, and engineering best practices.
• Review solution designs and code for scalability, performance, reliability and security.
• Lead technical discussions with customers, product teams, and engineering stakeholders.
• Provide direction and mentorship to onsite and offshore engineering teams.
• Troubleshoot complex technical and performance issues across distributed data-processing environments.
• Support design reviews, estimation, planning, deployment readiness and production rollout.

Skills

GCP

Spark

Airflow

Java

ML exposure

Job description

Job Title: GCP Data Engineering Technical Architect

Location: Bentonville, AR OR Nearby client office

Duration: 12+ month Contract

JOB DESCRIPTION:

Looking for Visa independent only (NO 1099 AND EAD)

Role

Technical Architect (min 15 years experience)

Domain

Retail

Core Skills

GCP, Spark, Airflow, Java , Exposure to ML is preferred

Role Overview

• Experienced Technical Architect based in the USA to lead the architecture and technical design of scalable, cloud-based data solutions within the Retail domain.
• The ideal candidate will have strong hands-on expertise in Google Cloud Platform (GCP), Spark, Airflow, and Java, along with proven experience in designing enterprise-scale data processing and integration solutions.
• The role requires a combination of solution architecture, technical leadership, hands-on engineering expertise, and client-facing communication skills

Key Responsibilities

• Define and drive the end-to-end technical architecture for cloud-based data and application solutions on GCP, Spark, Airflow, Java.
• Define architecture standards, design patterns, integration approaches, security considerations, and engineering best practices.
• Review solution designs and code to ensure scalability, performance, reliability, maintainability, and security.
• Lead technical discussions with customers, product teams, engineering teams, and other stakeholders.
• Provide technical direction and mentorship to onsite and offshore engineering teams.
• Troubleshoot complex technical and performance issues across distributed data-processing environments.
• Support design reviews, estimation, technical planning, deployment readiness, and production implementation.