Open role
[Remote] Data Engineering Lead
Note: The job is a remote job and is open to candidates in USA. Plasma is building its data function to provide a trusted view of users, money, and operations across Consumer, Payments, and Business. The Data Lead will build and own the data platform, define company metrics, support product and financial decisions, and establish standards and a team as the company grows.
Responsibilities
- Own Plasma's data platform end to end: the Snowflake warehouse, ingestion from production systems and third-party providers, and the modelled layer the rest of the company builds on
- Define the metrics the company runs on, including funded users, activation, engagement, balances, spend and retention, and make sure every team uses the same definitions
- Partner with Consumer to understand how users behave across regions, segments and products, and turn that into specific product decisions
- Design and analyse experiments, and be clear about when a result is real and when it isn't
- Work with Payments and finance so the business can trust its numbers: reconciliation across ledgers, providers and banking partners, revenue reporting and unit economics
- Find fraudulent and abusive patterns across onboarding, funding, card spend and transfers, and build the signals and rules that let risk and operations act on them
- Treat data quality, testing, access control and PII handling as part of the platform, not an afterthought
- Choose tools deliberately, set standards for the function and hire the team as Plasma scales
Skills
- A senior, hands-on data practitioner with a track record of both building a data platform and using it
- Deep SQL and data modelling skills, with enough engineering range to build and run production pipelines yourself
- Comfortable starting from very little, and building something that still makes sense when the team is five times bigger
- Strong judgment on tradeoffs: speed vs. rigour, build vs. buy, a quick answer now vs. a reusable model later
- You turn analysis into decisions. You can explain a finding to a non-technical leader in a few sentences and tell them what to do about it
- You communicate clearly, write clean, tested code, and lead through technical decisions whether or not you're managing people yet
- You have very high agency. You don't wait to be told which problem to work on; you go and find the ones that matter
- You've been an early or founding data hire at a fast-growing fintech
- Experience with real money data at a fintech: payments, cards, ledgers, settlement, chargebacks or FX. You know the ways financial data goes wrong
- Hands-on fraud, risk or financial-crime analytics
- Familiarity with stablecoins and on-chain data, including how blockchain transactions map to accounts, balances and ledgers
- Experience hiring and growing a data team
- Machine learning in production for fraud, risk or personalisation
Benefits
- Token compensation.
- A beautiful London HQ with gym access and daily food, for those who thrive in an office environment.
- Visa sponsorship and relocation support if you're joining from abroad.
- Premium health insurance for you and your family, fully covered by Plasma.
- Monthly wellness budget, whether that's the gym, therapy, sauna, or massage.
- All the tools and tech you need to operate at your best.
- Real ownership and responsibility from day one, with your work shipping to hundreds of thousands of people, moving millions of dollars every day.
Company Overview