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Metro location and broadly demanded data engineering skills create moderate applicant competition.
Core data engineering skills transfer across industries, though fintech compliance adds moderate specificity.
Explicit 7+ years, 3+ years managerial requirement, and Hadoop/Spark technical mandates increase strictness.
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Lead and manage multiple Data Engineering teams, setting priorities, providing technical guidance, and overseeing project delivery timelines.
Develop and maintain large-scale data pipelines and infrastructure, ensuring performance, scalability, security, and compliance with regulations like GDPR and CCPA.
Provide technical consultation to senior management and mentor Data Engineers and BI developers to build a strong Center of Excellence (CoE).
Bachelor’s Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
Minimum 7 years experience in modern data engineering technologies.
Minimum 3 years experience managing teams in a professional environment.
Experience with data warehouses, ETL/ELT processes, and enterprise-wide data transformation solutions.
Experienced leader capable of managing and mentoring a mid-sized team (11-15 direct reports) in data engineering and BI development.
Strategic operator comfortable in a hybrid office setting with 20% travel, providing cross-functional communication and training.
Technically proficient in large-scale data infrastructure, DataOps best practices, and compliance-focused data security management.