Senior Manager, Data Engineer
Core
Lead backend data platform engineering and functional data ownership for Japan and Korea, building scalable cloud-native platforms and business-critical data products.
Role type
Senior Manager, Data Engineering (hands-on IC)
Builds
Scalable cloud-native data platforms, automated data pipelines, and in-house business-critical data products for Coach and Kate Spade New York.
Domain
Retail / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud data services (AWS Glue, Athena, EMR), Big data frameworks (Spark, Hadoop, Hive, Presto, HBase), ANSI SQL, Python/Bash scripting, Distributed systems, CI/CD, Git, Workflow schedulers (Airflow)
Preferred skills
Java/J2EE, Spring, RESTful services, NoSQL (DynamoDB, Cassandra, MongoDB), Linux OS, IaC (CloudFormation, Terraform), Build tools (Maven, Gradle, Jenkins), Analytics dashboards
Technologies
AWS, Azure, GCP, Snowflake, Glue, Athena, EMR, Spark, Hadoop, Hive, Presto, HBase, Phoenix, Python, Bash, Airflow, TIDAL, Git, Terraform, CloudFormation, Maven, Gradle, Jenkins, DynamoDB, Cassandra, MongoDB
Responsibilities
Design, build, and operate scalable cloud-native data platforms; Develop and maintain reliable, automated data pipelines; Own development, test, and production environments for Japan and Korea data platform; Lead CI/CD, source control, and deployment; Act as functional owner for in-house data products ensuring data quality; Analyze complex data flows and lead root-cause investigation; Translate business requirements into robust data models and analytics-ready datasets.
Seniority
Senior Manager, hands-on IC
