GCP Data Engineering Technical Architect

Quantum Technologies. LLC; Bentonville (AR); On-site; USD 98,000 - 131,000; Full time

Job summary

Quantum Technologies LLC is seeking a GCP Data Engineering Technical Architect in Bentonville, AR. The role leads the architecture and design of scalable cloud data solutions for the Retail domain, with hands-on work across GCP, Spark, Airflow and Java.

The ideal candidate combines solution architecture with engineering leadership and client-facing communication skills to drive delivery and technical direction in a fast-paced environment.

Qualifications

• GCP, Spark, Airflow, Java required.
• Exposure to ML is preferred.

Responsibilities

• Define end-to-end technical architecture for cloud data solutions on GCP, Spark, Airflow and Java.
• Set architecture standards, design patterns, security considerations and best practices.

Skills

GCP

Spark

Airflow

Java

ML exposure

Job description

GCP Data Engineering Technical Architect

Location:

Bentinville, AR

Duration:

12Months+ Extension

Domain Exposure:

Manufacturing

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: GCP Data Engineering Technical Architect

Location: Bentonville, AR

Duration: 12 Months + Extension

Bill Rate: $83/hour

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.