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Metro location, generalist data engineering title, and broad skill requirements increase applicant competition.
Role requires deep data-platform and architecture expertise, making cross-industry portability limited.
Principal-level architecture, mentorship and platform ownership imply strict technical and leadership filters.
Owns complex data engineering initiatives, designing scalable, secure, and high-performance data models and platforms.
Collaborates with stakeholders and senior engineers to align data architecture and practices across teams.
Mentors data engineers, drives engineering standards, and acts as escalation point for complex technical issues.
Strong hands-on experience with modern programming languages like Java, Kotlin, or .NET.
Degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Experience solving complex engineering problems in team-based environments and mentoring engineers.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data engineer comfortable scoping and delivering complex, scalable data solutions with consideration for trade-offs between speed and quality.
Effective communicator skilled at working with cross-functional teams and influencing engineering culture.
Operating at a senior individual contributor level with expertise in data architecture and engineering best practices in agile environments.