Descrizione
ZEXTER is a technology company developing its own full-stack platform for the digital entertainment and iGaming ecosystem. We build scalable technology solutions for operators, creators, and digital businesses, helping them launch, manage, scale and monetize their products more efficiently. We are looking for a Lead Data Engineer to design a multi-tenant Lakehouse and take it to production: from ingestion via Kafka to data marts in ClickHouse, with data isolation, role-based access, and onboarding of new tenants.
Responsibilities
Design a multi-tenant Data Lakehouse architecture Build tenant data isolation across all layers: storage, catalog, data marts, and access. Build ingestion and stream processing via Kafka: website/app events, transactions, bets, bonuses, and partner data. Develop batch/ELT pipelines and transformations in dbt with per-tenant logic.
Orchestrate pipelines in Apache Airflow, including onboarding of new tenants. Design data marts and the serving layer in ClickHouse for fast B2B analytics and BI. Implement access segregation: tenant-aware roles, and access auditing.
Set up data quality, monitoring, alerting, and tenant-level documentation. Optimize cost and query performance as the number of tenants grows. Participate in tool selection and architectural decisions.
Work with analysts, BI, and product teams: turn raw data into clear and reliable datasets for B2B clients. Account for security, isolation, and, where applicable, iGaming regulatory requirements
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