GCP Data Architect - Logistics Analytics (Hybrid)

Cognizant; Parsippany-Troy Hills (NJ); Hybrid; USD 88,000 - 155,000; Full time

Benefits offered by this job

401(k) plan and contributions

Long-term/Short-term Disability

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a GCP Data Architect to design scalable cloud-based data architectures for analytics in transportation and logistics. You will collaborate with business stakeholders, data engineers, and cross-functional teams to deliver end-to-end data solutions.

The role emphasizes expertise in Google Cloud Platform, BigQuery, AlloyDB, and Python, with a focus on data modeling, ingestion pipelines, and governance. A hybrid work arrangement is available with office days in Parsippany, NJ.

Qualifications

• 10+ years designing and implementing enterprise data architecture and analytics solutions.
• Proven Google Cloud Platform expertise including BigQuery, Cloud SQL, AlloyDB, and BigQuery APIs.
• Advanced Python development for data engineering, automation, and data quality.
• Experience architecting large-scale data platforms for transportation, logistics, or related operations.
• Experience defining data governance, security, privacy, and compliance standards.

Responsibilities

• Design end-to-end data architecture solutions leveraging BigQuery, Cloud SQL, AlloyDB, and Python for transportation and logistics analytics.
• Develop scalable data models and high-performance query strategies for shipment tracking, route optimization, and forecasting.
• Build and optimize data ingestion frameworks using Python and BigQuery APIs from enterprise systems, telematics, and partners.
• Establish data governance, security, quality, and performance standards for cloud data operations.
• Collaborate with stakeholders to translate logistics requirements into scalable architecture solutions.

Skills

GCP Data Architecture

BigQuery

Python for data

Data modeling

Stakeholder mgmt

Communication

Education

Bachelor's degree in CS/IS/Engineering

Tools

AlloyDB

Cloud SQL

BigQuery APIs

Python

Job description

Cognizant is seeking a GCP Data Architect to design scalable cloud-based data architectures for analytics in transportation and logistics. You will collaborate with business stakeholders, data engineers, and cross-functional teams to deliver end-to-end data solutions.

The role emphasizes expertise in Google Cloud Platform, BigQuery, AlloyDB, and Python, with a focus on data modeling, ingestion pipelines, and governance. A hybrid work arrangement is available with office days in Parsippany, NJ.