Data Engineer

• Lead, mentor, and grow a team of Data Engineers, including recruitment, onboarding, performance management, and continuous skill development.
• Oversee the design, development, and optimization of data pipelines, architectures, and data sets for batch and streaming use cases.
• Collaborate with business units and analysts to gather requirements and translate them into scalable data solutions.
• Drive best practices in data modeling (conceptual, logical, and physical) to support analytics and reporting.
• Establish and maintain metadata standards, data cataloging, and lineage to improve data discovery and governance.
• Ensure timely delivery of projects by managing priorities, scope, and resources in an Agile framework.
• Partner with vendors and managed service providers as required to support delivery and operations.
• Define, track, and report on team KPIs such as data pipeline uptime, data freshness, and adoption metrics.
• Contribute to capacity planning, cloud cost optimization, and vendor performance review.
• Promote standardization and reusability of data models, pipelines, and integration approaches.
• Serve as a subject matter expert, communicating technical solutions to both technical and non-technical audiences.
• Maintain compliance with organizational standards for security, architecture, and development practices.
• Encourage experimentation with automation, AI/ML integration, and modern data engineering practices.
• Provide input into enterprise architecture and align data initiatives.

Data Engineering Manager

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