GCP Architect

GCP Architect

About the role

As a GCP Architect, you will make an impact by designing and engineering resilient data solutions on Google Cloud that support transportation and logistics operations, from scalable data pipelines to optimized AlloyDB and BigQuery environments. You will be a valued member of the Data Engineering team and work collaboratively with transportation planners, operations teams, and product stakeholders.

In this role, you will:

• Design and implement robust data architectures on Google Cloud that support transportation and logistics analytics and reporting with high reliability for operational decision making.
• Develop scalable data pipelines using Python and Cloud Pub/Sub to ingest, transform, and distribute logistics data such as shipments, routes, and tracking events across critical systems.
• Optimize BigQuery data models and queries to ensure efficient processing of large transportation datasets while meeting performance, cost, and compliance objectives.
• Configure and manage AlloyDB instances to support transactional and analytical workloads that store routing, capacity planning, and delivery status data for logistics operations.
• Implement comprehensive Google Cloud Monitoring dashboards, alerts, and metrics to proactively observe data workflows and quickly resolve issues impacting logistics processes.

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 2-3 days a 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

• 8-9 years of experience with GCP, including Google Cloud Monitoring and Cloud Pub/Sub
• 8-9 years of experience with GCP BigQuery
• 6-7 years of experience with Python programming and optimization techniques
• 5+ years of experience with AlloyDB
• Understanding of performance testing concepts

These will help you stand out

• Experience integrating data from multiple sources (e.g., order management, shipment tracking, warehouse systems) into unified BigQuery datasets
• Background in data quality checks, reconciliation logic, and validation rules for large-scale datasets
• Experience partnering with cloud infrastructure teams to tune resource configurations for resilience and scalability

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.