Head of Data Engineering & Platform

Mercury is a fintech company seeking a Head of Data Engineering & Platform to build and lead its core data infrastructure organization. The role will define the long-term data platform strategy, develop a high-performing engineering team, and create reliable, governed data foundations that support analytics, AI, operational systems, and self-service across the company.

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