Head of Data Engineering & Platform

About the role

We're looking for a Head of Data Engineering & Platform who can build the data platform that gives Mercury the same leverage Unix pioneered—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; banking services are provided through Choice Financial Group and Column N.A., Members FDIC.

Responsibilities

• 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 best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance
• Partner closely with Engineering, Product, Data Science, Security, and Infrastructure leaders to ensure Mercury's data platform accelerates product development, business operations, and decision-making

Requirements

• Bring 10+ years of relevant experience, including 5+ years leading data or engineering teams
• Have architected modern data platforms at scale, building the data foundations, semantic layers, metadata, and platform capabilities that power analytics, AI, machine learning, and operational systems
• Demonstrate the technical judgment and organizational influence to evolve data architecture through periods of rapid growth, balancing long-term, well-governed platform investments with near-term product needs
• Bring deep expertise in modern data infrastructure, including data modeling, orchestration, streaming, storage systems, metadata, and governance
• Have experience partnering with Security, Legal, Compliance, and Privacy teams to ensure data platforms meet the privacy, security, and regulatory standards expected of a regulated financial institution

Pay

Our target new hire base salary ranges for this role are the following:

• US employees: $289,700–$362,100
• Canadian employees (any location): CAD $273,800–$342,200

Total rewards include base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using reliable compensation survey data. Offers are based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.