📋 Description

• Lead the evolution of a petabyte-scale data platform on AWS
• Design and build scalable, resilient data pipelines and services
• Collaborate with product, engineering, and operations teams
• Enable data-driven marketing solutions and platform scalability
• Mentor engineers and promote best practices
• Drive architecture decisions and complex technical initiatives

🎯 Requirements

• Expert-level software and data engineering on large-scale data platforms
• Experience with Java-based languages (Scala) and Apache Spark
• Strong AWS data ecosystem experience (Glue, S3, Athena, Airflow, Iceberg)
• Distributed systems understanding and parallel workloads
• Query optimization, data partitioning, efficient storage patterns
• Cloud mastery (AWS required; Azure/GCP a plus) and leadership capabilities

🎁 Benefits

• Collaborative, inclusive culture
• Exciting projects with cutting-edge data tech
• Opportunities for professional growth and mentorship