Head of Data Engineering & Platform
Mercury- Location
- San Francisco, CA, New York, NY, Portland, OR, · Remote within Canada · United States
- Workplace
- Remote
- Employment
- —
- Salary
- USD 289,700–362,100/yr
Posted 27d ago
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 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
You should
- 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
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
#LI-RA1
Total Rewards
The total rewards package at Mercury includes 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 the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
US employees (any location)
$289,700—$362,100 USD
Canadian employees (any location)
$273,800—$342,200 CAD
Skills
- Unix
- Machine Learning
More jobs at Mercury
All 30MarTech Lead
Mercury · San Francisco, CA, New York, NY, Portland, OR · Canada · United States · USD 158,200–197,800/yr · yesterday
Senior Machine Learning Operations Engineer
Mercury · San Francisco, CA, New York, NY, Portland, OR, · Canada · United States · USD 166,600–208,300/yr · 8d ago
Senior Financial Data Reconciliation Analyst
Mercury · San Francisco, CA, New York, NY, Portland, OR, · Canada · United States · USD 171,000–213,700/yr · 8d ago
Senior Software Engineer - SRE
Mercury · San Francisco, CA, New York, NY, Portland, OR, · Canada · United States · USD 200,700–250,900/yr · 9d ago
Senior Software Engineer - Investments
Mercury · San Francisco, CA · New York, NY · Portland, OR +2 · USD 200,700–250,900/yr · 13d ago
Similar roles
Senior Analytics Engineer
Redwood Materials · San Francisco, California, United States · today
Data Engineering Manager
Redwood Materials · McCarran, NV · today
Senior Business Intelligence Analyst
AtriCure · Mason, OH · today
Recruiting Analytics Data Engineer
Anthropic · New York City, NY · San Francisco, CA | New York City, NY | Seattle, WA · Seattle, WA · USD 285,000–380,000/yr · today
Data Engineer
Nest Veterinary · United States · today
Manager, Engineering, Enterprise Data Platform
PitchBook Data · Seattle, Washington, United States · USD 225,000–260,000/yr · today