Hiring: Sr. Data Engineer - Snowflake and Lakehouse Company: Cognizant Location: Phoenix, AZ Job Posted Time: 2026-09-16 18:15:09 Employment Type: On-site Target Skills & Keywords : AWS, Airflow, CI/CD, Data Warehouse, Git, IAM, Iceberg, Java, Kafka, Lambda, Machine Learning, Phoenix, Python, REST, S3, SQL, Snowflake, Spark, dbt About the job Experience: •5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments. •Minimum 5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments. Required Skills: •As a Senior Data Engineer - Snowflake and Lakehouse •In This Role, You Will •Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming. •Develop and maintain robust data transformation frameworks and curated data models using dbt and industry best practices. •Build and optimize data processing solutions using Snowpark (Python and Spark) to support advanced transformations and machine learning use cases. •Implement and manage Dynamic Tables, Snowflake Tasks, and workflow orchestration to automate and streamline data operations. •Design and maintain Apache Iceberg-based Lakehouse architectures that enable open, interoperable, and high-performing data platforms. •Integrate Kafka event streams and CDC data sources into Snowflake to support scalable real-time analytics. Compensation: •$100,000 - $115,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!