Data Engineering Lead
Plasma is a financial technology company operating a stablecoin-native financial network. Its flagship Plasma One product provides dollar accounts, transfers, yield access, and Visa card spending, while the Plasma Network supplies the underlying EVM-compatible blockchain infrastructure.
Funding history
Projects
About Plasma
Plasma combines a stablecoin-focused Layer 1 network with consumer and business financial products. Plasma One is its first and flagship product, offering stablecoin accounts, cross-border transfers, yield access, and card spending. The underlying Plasma Network provides EVM compatibility, fast settlement, stablecoin payment primitives, and zero-fee USD₮ transfer routes.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and own the data platform, including the Snowflake warehouse, production and third-party data ingestion, and the modeled data layer. You will define company metrics, analyze user behavior and experiments, reconcile financial data, identify fraud patterns, and establish data quality, testing, access control, and PII-handling standards. You will select tools, set technical standards, and grow the data team as the company scales.
Requirements
- Deep SQL and data modeling skills
- Engineering capability to build and operate production data pipelines
- Experience building and using a data platform
- Ability to make tradeoffs between speed, rigor, build versus buy, and reusable models
- Ability to communicate analysis and recommendations to non-technical leaders
- Ability to write clean, tested code and lead technical decisions
Responsibilities
- Own the end-to-end data platform, including the Snowflake warehouse, ingestion pipelines, and modeled data layer
- Define and standardize company metrics for funded users, activation, engagement, balances, spend, and retention
- Analyze user behavior across regions, segments, and products to inform product decisions
- Design and analyze experiments
- Reconcile ledgers, providers, and banking partners and deliver revenue and unit-economics reporting
- Identify fraudulent and abusive patterns and build signals and rules for risk and operations
- Maintain data quality, testing, access control, and PII handling
- Choose tools, set standards, and hire the data team
Benefits
- Token compensation
- Gym access
- Daily food
- Visa sponsorship
- Relocation support
- Premium health insurance for you and your family
- Monthly wellness budget
- Tools and technology needed for work