Senior Data Engineer
The Cari Network is a bank-governed tokenized deposit network that brings U.S. commercial-bank deposits onchain for real-time, 24/7 programmable payments, built on Matter Labs’ Prividium (ZKsync) and founded by former U.S. Comptroller of the Currency Gene Ludwig.
About Cari Network
The Cari Network is a permissioned, bank-governed network for tokenized deposits, enabling U.S. regional and mid-size banks to issue and move onchain deposit tokens around the clock while keeping them as balance-sheet liabilities inside the regulatory perimeter. Built on Matter Labs’ Prividium (ZKsync), it targets production launch in 2026 with 30+ design-partner banks (Huntington, First Horizon, M&T, KeyBank, Old National, SouthState). Founded by Gene Ludwig; acquired select Tassat technologies in 2026.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You own the data ingestion and governance layer for the analytical platform. You design foundational pipelines, evaluate platform options, establish access controls and audit practices, enforce the transactional source-of-truth boundary, define data quality and reconciliation practices, document technical decisions, and establish monitoring and recovery standards.
Requirements
- 5–7 years of data engineering experience
- Hands-on pipeline design experience
- Knowledge of AWS-native data tooling, Snowflake, and Databricks tradeoffs
- Experience building data governance practices
- Experience with access control, audit logging, and data lineage
- Understanding of analytical layers derived from transactional sources of truth
- Production experience with Kafka, MSK, PostgreSQL, or equivalent tools
- Strong written communication
- Experience in regulated or compliance-sensitive environments preferred
- Familiarity with blockchain or on-chain data preferred
- Experience with SOC 2 or data residency frameworks preferred
- Familiarity with Terraform or equivalent infrastructure-as-code tooling preferred
- Experience mentoring data engineers preferred
Responsibilities
- Design ingestion pipelines from transactional and event infrastructure
- Evaluate analytical platform options
- Build data governance practices
- Enforce the transactional source-of-truth boundary
- Define data quality and reconciliation practices
- Write RFCs and design documents
- Define monitoring, alerting, and failure recovery standards
- Mentor less-senior data engineers
Benefits
- Equity
- Full medical benefits
- Vision benefits
- Dental benefits
- 401(k) with matching program
- Flexible vacation policy (PTO)
- Remote-first work environment