About Evervault

Evervault offers modular payments infrastructure for companies building their own payments stack. We keep raw card data off your systems, cut PCI compliance work, improve acceptance, mitigate fraud and chargebacks and decrease your cost of payments, so you keep full control. Trusted by Ramp, Rippling, Modern Treasury and Overwolf; Series B, led by Ribbit Capital.

Role Overview

You’ll be the first engineer dedicated to our data platform, and you’ll design and build it largely from scratch. You’ll own the platform that collects our event data, models it, and serves it to customers with roughly 15-second freshness, including building our time-series foundations. This is a senior, hands-on role: you’ll set the architecture, write most of the code and set the bar for the data team that grows around you. You’ll work closely with our VP of Engineering, Product and our leadership team. Product decides which data products to build; you own how they’re built and what the data can support.

What You’ll Be Doing

Designing and building real-time ingestion for three sources: events our platform already emits, new instrumentation in our product, and data our customers send us

Rebuilding our event streaming layer, with the authority to choose how

Modelling structured and time-series data in ClickHouse and Databricks so aggregations, trends and benchmarks are fast and cheap at scale (our current defaults, though you can make the case for change)

Designing the external data contracts and APIs customers build on, including versioning, reliability and isolation of each customer’s data

Defining the event contracts our product engineers instrument against

Owning the platform in production: monitoring, data quality, cost and on-call for the systems you build

Your First Year

In your first few months you’ll assess what we have, decide the platform architecture, and scope our first data product with Product and Engineering. After that, you’ll rebuild the streaming layer and ship the first external product on the new platform, most likely aggregated analytics or direct data access for customers. Later in the year you’ll help us hire a domain expert who decides which signals and benchmarks are worth building. Machine learning is out of scope for now; it comes once we have enough clean historical data.

Requirements

Production experience building real-time or near-real-time ingestion with event streaming, such as Kafka, Kinesis or Redpanda

Deep experience with ClickHouse or a similar analytical database, including modelling time-series data for fast aggregation at volume

A track record of shipping an external, multi-tenant data product or data API that customers depended on (internal reporting pipelines alone won’t cover this)

Experience migrating a messy live system to a new one without downtime or data loss

Senior-level engineering habits: system design, testing, and running the services you build in production

Sound judgement working independently: you’ll be our most senior data voice, and we’ll rely on your technical calls

A product mindset: you won’t work directly with customers, but you’ll often be the person who knows what the data can and can’t support

Nice to Have

Experience in payments or with sensitive, regulated data

Databricks or Spark experience alongside ClickHouse

Experience as an early or founding member of a data team, including hiring

This Might Not Be for You If…

You’re mainly an analyst, BI or data science specialist: this role builds the platform and the external products on it

Your experience is mostly dashboards, internal reporting pipelines or modelling for analysis

You want a hands-off architect role: you’ll write most of the code

You want to work fully remotely: we’re in our Shoreditch office Tuesday to Thursday

Compensation, Benefits & Why Join

Competitive salary

Stock options with an extended exercise window

Private health insurance

Unlimited PTO & flexible working hours

Daily lunch budget

Build a company’s data platform from the first line of code, with the authority to make the big architectural calls and work directly with C-Level