Senior Data Architect for Scalable Solutions

3 days ago


Chicago, Illinois, United States Publicis Groupe Full time
About the Opportunity

We are looking for a talented Senior Data Architect to join our team and lead the development of scalable, high-performance systems using Spark, Scala, and other big data technologies. As a Senior Data Architect, you will play a key role in designing and implementing end-to-end solutions that drive business outcomes.

In this role, you will collaborate closely with cross-functional teams, including Data Science, Engineering, Analytics, and Data Warehousing, to build scalable, high-performance systems. You will design and implement scalable AI/ML applications, integrate Spark, Scala, and other big data technologies, and optimize system performance for continuous improvement.

The ideal candidate will have 5+ years of software development experience in highly scalable, distributed environments and strong proficiency in Scala, Python, or Java. They will also have hands-on experience with Spark, Hadoop, Hive, and related technologies, as well as experience working with Kubernetes, Docker, and Airflow.

Key Responsibilities
  • Design and implement scalable AI/ML applications
  • Integrate Spark, Scala, and other big data technologies
  • Optimize system performance for continuous improvement
Requirements
  • 5+ years of software development experience in highly scalable, distributed environments
  • Strong proficiency in Scala, Python, or Java
  • Hands-on experience with Spark, Hadoop, Hive, and related technologies
  • Experience working with Kubernetes, Docker, and Airflow

Compensation: $80,250 - $133,750 per year

Benefits: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching, and counseling



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