Lead Data Engineer (Partner Company Role)

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.
• English language skills at the B2 level and fluent russian language.

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

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/lead-data-engineer-partner-company-role-fyst