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Lead Data Engineer(Partner Company Role)

Remote (Ukraine)Remote (region-locked)LeadFound Jul 3
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snowflakekafkapostgresqlawscdcairflowdbtkubernetes

We're looking for the right person to build that foundation from the ground up. This is a hands-on leadership role with real ownership: you'll shape how data is collected, structured, and delivered — and grow a team around you as the function matures.

WHAT YOU'LL BE WORKING ON

  • 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.

WHAT YOU NEED TO SUCCEED IN THIS ROLE

  • 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.
  • Kubernetes, Airflow/Prefect/Dagster, and dbt are strong pluses.
  • Payments domain knowledge — settlement, transaction lifecycle, processor integrations — is a strong plus.
  • Familiarity with gRPC, RabbitMQ, and reading Go/Python service code is expected.

WHAT WE OFFER

  • An opportunity to make something great even greater, you can be the reason why we grow, develop, and become the best fintech company on the market!
  • 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

Originally posted on Himalayas

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nameLead Data Engineer(Partner Company Role)
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