The Senior Data Platform Engineer role at IBM focuses on designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem. This position requires expertise in Google's data platforms and open-source technologies to create efficient data pipelines. The team emphasizes collaboration and innovation, aiming to drive meaningful change for clients across various industries. The role offers the flexibility to work from anywhere in the United States while engaging in a culture that values growth and empathy.

• Bachelor's degree in a relevant field.
• Proven experience designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem.
• Proficiency in open-source technologies such as Apache Beam, Apache Airflow, dbt, Spark/Python, or Spark/Scala.
• Experience developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services.
• Experience scheduling and managing data platforms using Google Cloud Scheduler and Cloud Composer.

• Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services.
• Build and maintain data engineering solutions using Google Cloud Storage, BigTable, and BigQuery DataProc.
• Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer.
• Design and optimize the data layer for efficient data migration and processing.
• Ensure scalability and efficiency of data pipelines and engineering solutions to meet business needs.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.