Engineering Manager, Data Platform

🕒 Abril 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $240.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

👮‍♀️ Gerente de Engenharia de Software

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SentiLink

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

🔐 Segurança

💳 Fintech

💸 Finanças

💰 $70.000.000 Series B em 2021-08

Security • Fintech • Finance

A SentiLink é uma empresa focada em combater fraudes de identidade para instituições financeiras. Ao alavancar modelos de machine learning e expertise humana, a SentiLink oferece soluções personalizadas para impedir o roubo de identidade no ponto de aplicação para vários serviços financeiros, incluindo depósitos, crédito e empréstimos. Seus produtos garantem que os clientes possam acessar serviços financeiros com segurança enquanto minimizam as perdas por fraude com uma abordagem flexível e responsiva à gestão de risco.

Descrição

• Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure • Define and drive the technical vision for data ingestion, processing, storage, and serving systems • Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases • Ensure high standards for data quality, reliability, and observability across all data systems • Partner with Data Science to enable their pipelines and enable efficient access to high-quality data • Collaborate with Product and Engineering teams to power data-driven features and decisioning systems • Work closely with Infrastructure to optimize performance, cost, and scalability of data systems • Establish best practices for data governance, schema management, and pipeline reliability • Support operational excellence, including monitoring, alerting, and incident response for data systems • Hire, mentor, and develop engineers while maintaining a high hiring bar • Foster a culture of ownership, accountability, and continuous improvement • Contribute to architecture and technical problem-solving as needed

🎯 Requisitos

• 2-5+ years of engineering management experience leading data or platform teams • Strong background as a senior or staff-level data engineer or backend engineer with data focus • Experience building and scaling data platforms, including ETL/ELT pipelines and data infrastructure • Proficiency in Python, Golang, or similar languages • Deep understanding of distributed data systems, batch and streaming architectures • Experience with cloud-based data platforms (AWS, GCP, or Azure) • Strong knowledge of databases, data modeling, and query optimization (SQL, RDBMS, data warehouses) • Track record of delivering reliable, scalable data systems in production environments • Comfortable leading technical discussions and diving into system design details • Experience operating in fast-paced, startup or growth-stage environments • Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.) preferred • Familiarity with data lakes, warehouses (Redshift), and modern data architectures preferred • Experience building data platforms that support ML or fraud/risk systems preferred • Fintech or fraud domain experience preferred.

🏖️ Benefícios

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!