GCP Data Architect

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

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.

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. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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:

• 401(k) plan and contributions
• Long-term/Short-term Disability
• 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.