Engineering Manager, Data Platform

🕒 April 8

🇺🇸 United States – Remote

💵 $200k - $240k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👮‍♀️ Software Engineering Manager

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SentiLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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!