GCP Architect

Cognizant•Parsippany-Troy Hills, NJ

1d•$130,000 - $150,000•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

GCP Professional Data Engineer or Cloud Architect certification is a plus.

Responsibilities

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.