Head of Data Engineering & Platform
Mercury•San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States•🌍 Remote
Full-time7-15
👁️ 3 views•📝 0 applications•Posted 8/17/2026•Expires 9/27/2026
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Job Description
In the early 1970s, Ken Thompson and Dennis Ritchie built Unix around a deceptively simple idea: create small, composable tools that work well together. That philosophy went on to shape modern operating systems, developer tooling, cloud infrastructure, and much of the software we rely on today—not because any individual tool was revolutionary, but because the platform made everyone else more productive. We're looking for a Head of Data Engineering & Platform who can build the data platform that gives Mercury that same leverage—creating a foundation where trusted data is easy for both people and AI systems to discover, understand, and work with. In this role, you'll lead and grow a high-performing team of data engineers responsible for Mercury's core data infrastructure. You'll shape the architecture, tooling, and engineering practices that enable reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools. * Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Here are some things you’ll do on the job: Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for Mercury's core data infrastructure, setting a high technical bar and cultivating a strong engineering culture Define and execute Mercury's long-term data platform strategy, building the architecture, tooling, and reusable data products that power analytics, AI, operational systems, and self-service across the company Build a platform that makes Mercury's data easy for both people and AI systems to discover, understand, and use, investing in semantic models, metadata, and developer tooling that make trusted data reusable across the company Establish the foundations for a trusted, resilient data platform by driving b
Required Skills
data engineeringdata infrastructureanalyticsAIarchitecturetoolingdata productssemantic modelsmetadatadeveloper tooling
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