GCP Data Architect - (Transportation & Logistics)

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

Benefits offered by this job

Medical Insurance

Dental Insurance

Paid holidays.

401(k) plan

Stock Purchase Plan

Job summary

Cognizant in Parsippany, NJ is seeking a GCP Data Architect to design scalable cloud-based data architectures that enable advanced analytics for transportation and logistics operations. You will collaborate with data engineers, stakeholders, and cross-functional teams.

You will build end-to-end data models, optimize queries using BigQuery, Cloud SQL, AlloyDB, and Python, and establish governance, security, and performance standards for cost-effective cloud data operations.

Qualifications

• 10+ years of experience designing and implementing enterprise data architecture and analytics solutions.
• Strong expertise with Google Cloud Platform, including BigQuery, Cloud SQL, AlloyDB, and BigQuery APIs.
• Advanced Python development experience focused on data engineering, automation, and data quality frameworks.
• Experience architecting large-scale data platforms supporting transportation, logistics, supply chain, or related operational environments.
• Proven ability to design high-performance data models, optimize cloud data storage, and support real-time and batch analytics workloads.
• Experience defining data governance, security, privacy, and compliance standards across cloud-based data ecosystems.
• Strong stakeholder management and communication skills, with the ability to collaborate across technical and business teams.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.

Responsibilities

• Design and deliver end-to-end data architecture solutions leveraging BigQuery, Cloud SQL, AlloyDB, and Python.
• Develop scalable data models and high-performance query strategies for analytics.
• Build and optimize data ingestion frameworks using Python and BigQuery APIs.
• Establish data governance, security, quality, and performance standards for cloud data operations.
• Partner with stakeholders to translate logistics requirements into scalable architecture solutions.

Skills

Data architecture

Data modeling

Cloud analytics

Stakeholder collaboration

Python development

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Cloud SQL

AlloyDB

Python

Job description

About The Role

As a GCP Data Architect, you will make an impact by designing and optimizing scalable cloud-based data architectures that enable advanced analytics, operational visibility, and data-driven decision-making across transportation and logistics operations. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, supply chain leaders, data engineers, and cross-functional technology teams.

In This Role, You Will

• Design and deliver end-to-end data architecture solutions leveraging BigQuery, Cloud SQL, AlloyDB, and Python to support large-scale transportation and logistics analytics.


• Develop scalable data models and high-performance query strategies that enable shipment tracking, route optimization, operational reporting, and forecasting.


• Build and optimize data ingestion frameworks using Python and BigQuery APIs, integrating data from enterprise systems, telematics platforms, and third-party logistics partners.


• Establish data governance, security, quality, and performance standards while ensuring reliable, cost-effective, and compliant cloud data operations.


• Partner with business and technology stakeholders to translate complex logistics requirements into scalable architecture solutions that improve operational efficiency and delivery performance.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in Parsippany, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need To Have To Be Considered

• 10+ years of experience designing and implementing enterprise data architecture and analytics solutions.


• Strong expertise with Google Cloud Platform, including BigQuery, Cloud SQL, AlloyDB, and BigQuery APIs.


• Advanced Python development experience focused on data engineering, automation, and data quality frameworks.


• Experience architecting large-scale data platforms supporting transportation, logistics, supply chain, or related operational environments.


• Proven ability to design high-performance data models, optimize cloud data storage, and support real-time and batch analytics workloads.


• Experience defining data governance, security, privacy, and compliance standards across cloud-based data ecosystems.


• Strong stakeholder management and communication skills, with the ability to collaborate across technical and business teams.


• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.

These will help you stand out

• Experience supporting transportation management, fleet operations, warehouse management, or supply chain analytics platforms.


• Knowledge of logistics KPIs, route optimization methodologies, shipment tracking solutions, and operational forecasting.


• Experience working with telematics, IoT, or real-time streaming data sources.


• Familiarity with cloud-native monitoring, observability, and incident management practices.


• Experience evaluating and implementing emerging cloud data technologies to improve operational efficiency and business outcomes.

We’re excited to meet people who share our mission and can make an impact in a variety of ways.

Salary And Other Compensation

Applications will be accepted until October 10, 2026.

The annual salary for this position is between $88,000 - $155,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance


• Paid holidays plus Paid Time Off


• 401(k) plan and contributions


• Long-term/Short-term Disability


• Paid Parental Leave


• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.