Data Engineering, Management, & Governance Manager, Finance

What you'll do

• Design, build, and test scalable data pipelines using extract, transform, and load tools.
• Create reusable workflows for data ingestion, quality assurance, transformation, and optimization.
• Migrate data from legacy warehouses and enterprise systems to cloud architectures.
• Deploy data solutions to production environments using CI/CD DevOps and cloud architecture principles.
• Automate data flows for financial reporting, operational analytics, and AI use cases.
• Design and advise on data quality rules and establish effective data compliance policies.
• Build business processes that enable robust data governance.
• Document technical requirements and design documents for data engineering projects.

What we're looking for

• Minimum of 5 years of experience in Cloud and Big Data technologies including Spark, Python, SQL, and Node.js.
• Minimum of 5 years of experience in cloud data storage, data management, and data services.
• Minimum of 5 years of experience in data supply chain, including streaming pipelines and data evaluation.
• Minimum of 5 years of experience with DevOps, CI/CD processes, and scheduling or orchestration.
• Bachelor's degree or equivalent (minimum 12 years work experience).
• Associate’s Degree with a minimum of 6 years of work experience.
• Experience in large-scale data integration and data warehouse solutions (preferred).
• Cloud (e.g. AWS) data path certifications (preferred).