GCP Architect

About the role

We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with GCP data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

In this role, you will:

• Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
• Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
• Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
• Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
• Ensure security and compliance by applying IAM roles, encryption, and network controls.
• Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
• Implement best practices for data quality, monitoring, and governance.

Work model: On Site

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Parsippany, NJ.

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

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum 8 years of experience in data engineering, preferably in a cloud environment.
• Minimum 3 years of hands-on and strong expertise in GCP services:

o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.

• Proficiency in SQL, Python and Linux scripting.
• Prior experience with ETL tools such as Datastage, Informatica, SSIS
• Familiarity with data modeling (star/snowflake) and data warehouse concepts.
• Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).
• Strong problem-solving and analytical mindset.
• Effective communication and collaboration skills.
• Ability to work in an agile and fast-paced environment.
• GCP Professional Data Engineer or Cloud Architect certification is a plus.

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:

Application will be accepted until November 30, 2025

The annual salary for this position is between $130,000- $150,000 USD 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 is 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.