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Tier-1 employer, metro location, and broad mid-level managerial data role with extensive technical requirements.
Core data engineering and cloud skills are transferable, but banking risk and HCM preferences increase domain sensitivity.
Explicit years, managerial mandate, and banking risk/compliance requirements make filters stringent.
Lead and manage data engineering teams to design, develop, and deliver scalable, secure data engineering solutions across the HR data ecosystem.
Own strategy and execution for enterprise data initiatives including Cloud engineering, Data Lake/lakehouse, and data products.
Drive process improvements, operational excellence, capacity planning, and collaborate cross-functionally to ensure delivery of moderately to highly complex projects.
6+ years of software engineering experience.
3+ years of management or leadership experience.
Experience with data engineering, cloud-native architectures, and modern data platforms is expected but not explicitly mandated as a filter.
Work Experience Required: 6+ years in software engineering, 3+ years in management (explicit)
Experienced in migrating legacy data platforms to cloud-native lakehouse architectures, preferably with Azure and GCP platforms.
Skilled in managing engineering teams using agile and DevOps practices and capable of technical contribution through code reviews and design guidance.
Proven ability to lead cross-functional programs, influence senior stakeholders, and manage resources including vendors and budgets.