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Senior role with specialized streaming/cloud skills at a metro location and strong brand yields medium competition.
Core data engineering skills are transferable, but retail/supply-chain domain experience increases fit sensitivity.
Explicit 12+ years requirement plus mandatory streaming, cloud, leadership, and tooling skills makes shortlisting highly selective.
Lead delivery of strategic data programs within Supply Chain & Planning Data Domain, owning end-to-end solution lifecycle from requirements to production support.
Architect and develop scalable batch and real-time data pipelines, data models, and event-driven streaming solutions using Kafka, Google Pub/Sub, and similar technologies.
Provide technical leadership, ensure data quality and governance, troubleshoot platform issues, and collaborate globally including overlap with U.S. time zones.
12+ years experience in Data Engineering, Data Warehousing, or related disciplines with large-scale data solution delivery.
Proficiency in SQL and Python for large-scale data processing; hands-on experience with big data technologies such as Spark, Flink, Hive.
Experience designing event-driven architectures and streaming pipelines with Kafka, Google Pub/Sub, or equivalent; familiarity with cloud platforms (preferably GCP).
Flexible to work overlapping U.S. business hours to support global collaboration and project execution.
Senior data engineer capable of leading complex, cross-continental delivery tracks within supply chain data domains.
Experienced in building and scaling both batch and real-time data pipelines and implementing event-driven architecture solutions.
Experienced with modern software engineering practices including CI/CD, Infrastructure as Code, automation, and cloud-native data platform development.