Head of Data Engineering – Platform

🕒 4 days ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $289.7k - $362.1k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mercury

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

💳 Fintech

🏦 Banking

☁️ SaaS

Fintech • Banking • SaaS

Mercury is a software-driven fintech that provides business and personal banking products built for startups and small to mid-size companies. Its platform offers business checking and savings, Treasury products, business credit cards and spend management, payments and invoicing, accounting integrations and AI-powered automations, plus APIs and developer tools. Mercury partners with FDIC-insured banks to offer deposit protection, emphasizes virtual cards, granular spend controls, and workflow automations for teams, agencies, ecommerce brands, VC funds, and crypto businesses. The product is positioned as an all-in-one banking and finance platform delivered through a modern app and API.

📋 Description

• Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for Mercury's core data infrastructure • Define and execute Mercury's long-term data platform strategy, building architecture, tooling, and reusable data products for analytics, AI, operational systems, and self-service • Build a platform that makes Mercury's data easy for people and AI systems to discover, understand, and use • Invest in semantic models, metadata, and developer tooling that make trusted data reusable across the company • Establish foundations for a trusted, resilient data platform through reliability, observability, data quality, governance, privacy, security, and regulatory compliance best practices • Partner with Engineering, Product, Data Science, Security, and Infrastructure leaders to accelerate product development, business operations, and decision-making

🎯 Requirements

• 10+ years of relevant experience, including 5+ years leading data or engineering teams • Experience architecting modern data platforms at scale • Experience building data foundations, semantic layers, metadata, and platform capabilities for analytics, AI, machine learning, and operational systems • Technical judgment and organizational influence to evolve data architecture during rapid growth • Deep expertise in data modeling, orchestration, streaming, storage systems, metadata, and governance • Experience partnering with Security, Legal, Compliance, and Privacy teams • Experience ensuring data platforms meet privacy, security, and regulatory standards expected of a regulated financial institution

🏖️ Benefits

• Equity (stock options/RSUs) • Benefits • Reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs