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SentiLink

SentiLink Stops Identity Fraud

Engineering Manager, Data Platform

Engineering ManagerEngineering ManagerFull TimeRemoteMid LevelTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

99 days ago

Salary

$200K - $240K / year

Seniority

Mid Level

Job Description

Engineering Manager, Data Platform

SentiLink

• 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

Job 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!

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