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Mercury via Greenhouse

Head of Data Engineering & Platform

head $289.7k–362.1k/yr CanadaUnited States
still open verified 1d ago posted 34d ago checked 3h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 34d ago

The date the source published, not the day we noticed it (2026-08-11). Last seen at its source 3h ago.

Is it remote?

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Canada, United States

The description states no restriction of its own. This is the source's own tag.

Pay

$289.7k–362.1k/yr

Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

Compensation & BenefitsData ModelingLinuxMachine LearningObservabilityRegulatory Compliance

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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
Apply at job-boards.greenhouse.io