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. 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:
· 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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
