Senior Data Engineer / GCP & Databricks Architect

Senior Data Engineer - GCP & Databricks

About the role

As a Senior Data Engineer, you will make an impact by designing and delivering modern cloud data platforms that enable trusted analytics, reporting, and business insights at enterprise scale. You will be a valued member of the Data Engineering team and work collaboratively with architects, data engineers, business stakeholders, and cross-functional technology teams.

In this role, you will:

• Lead the modernization of legacy data platforms and implement cloud-native solutions using GCP and Databricks.
• Design and develop scalable batch and streaming data pipelines that support enterprise reporting, analytics, and data products.
• Build and maintain data orchestration frameworks using Apache Airflow and implement CI/CD practices across data engineering solutions.
• Establish data quality, observability, governance, and security controls to ensure trusted and reliable data assets.
• Collaborate with business and technology stakeholders to deliver high-quality data solutions while optimizing performance, scalability, and cost.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. 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

• Experience designing and implementing enterprise data solutions on Google Cloud Platform (GCP), including BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Hands-on experience with Databricks, Delta Lake, and large-scale data engineering initiatives.
• Strong proficiency in SQL, Python, ETL/ELT development, and data modeling.
• Experience building and supporting Apache Airflow orchestration workflows and implementing CI/CD practices.
• Knowledge of data governance, data quality, observability, security, and metadata management frameworks.

These will help you stand out

• Experience integrating SAP ECC or SAP S/4HANA data into cloud-based analytics platforms.
• Experience migrating Teradata or other legacy data warehouse technologies to modern cloud architectures.
• Knowledge of Kafka and real-time data processing solutions.
• Experience with OpenShift, Kubernetes, PostgreSQL, and enterprise production support environments.
• Cloud certifications in GCP, Databricks, or related technologies.

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 26, 2026.

The annual salary for this position is between $100,000 - $135,000 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.