[Remote] Lead Data Engineer(Partner Company Role)

Note: The job is a remote job and is open to candidates in USA. FYST is a fintech company looking for a Lead Data Engineer to build and lead a data engineering team. This hands-on leadership role involves designing data architecture, owning tooling decisions, and implementing data pipelines to enhance the company's data capabilities.

Responsibilities

• Design the target-state data architecture: Postgres CDC → Kafka → Snowflake → client-facing data products
• Own tooling decisions across ingestion, orchestration, transformation, and quality layers
• Implement CDC-based ingestion from PostgreSQL services (RDS, Aurora, EC2, K8s operator) using Debezium or equivalent
• Build streaming and near-real-time pipelines with defined SLAs
• Build a data quality control layer: checksums, reconciliation, schema validation, anomaly detection, and alerting
• Define quality checkpoints across the full pipeline — from source capture through Snowflake to client delivery
• Define and enforce data contracts with service-owning teams for core entities: transaction, merchant, settlement, and processing status
• Build the external data delivery layer: financial settlement, transaction status, processor reconciliation, and client analytics
• Design tenant separation and implement replay/reload mechanisms for failure recovery
• Start hands-on, then gradually hire and grow a small data engineering team as the function matures. Build a pragmatic roadmap with concrete deliverables at 3, 6, and 12 months

Skills

• 5+ years in data engineering with end-to-end ownership of production pipelines
• Hands-on with Snowflake, PostgreSQL CDC (Debezium preferred), and Kafka
• Solid AWS experience — S3, RDS, Aurora, and cloud data infrastructure
• Data quality engineering mindset: monitoring, reconciliation, lineage
• Comfortable defining data contracts and driving requirements with backend engineering teams
• Technical leadership experience: project ownership, cross-team alignment, delivery under constraints
• Familiarity with gRPC, RabbitMQ, and reading Go/Python service code is expected
• Kubernetes, Airflow/Prefect/Dagster, and dbt are strong pluses
• Payments domain knowledge — settlement, transaction lifecycle, processor integrations — is a strong plus

Benefits

• Career prospects - we are young, we have huge ambitions, and it is important that our employees grow with us
• Work with coworkers who are passionate about their business
• Compensation that will fully correspond to the competence and knowledge, with yearly performance reviews
• Remote work
• 20 days of vacation time; bank holidays; sick leaves; additional birthday day off

Company Overview