Engineering Manager, Data Platform

SentiLink

United States
$200,000pyear - $240,000pyear; equity + benefits; ...
Remote
Data ingestion, processing, storage, serving
Scalable data pipelines (batch and real-time)
Data quality, reliability, observability
SentiLink is seeking an Engineering Manager for its Data Platform team to lead the development and scaling of data infrastructure. The ideal candidate will have a strong background in data engineering and management, as well as experience with cloud-based platforms and distributed data systems

Job Summary

  • 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.
  • Partner with Data Science, Product, and Engineering teams to ensure data is reliable, accessible, and actionable across the company.

Matching Summary

Match Score: 85

SentiLink is seeking an Engineering Manager for its Data Platform team to lead the development and scaling of data infrastructure. The ideal candidate will have a strong background in data engineering and management, as well as experience with cloud-based platforms and distributed data systems.

Salary

$200,000/year - $240,000/year; equity + benefits; Employer paid group health insurance, 401(k) with match, flexible PTO, home office stipend

Skills & Requirements

Must-have

  • Data ingestion, processing, storage, serving
  • Scalable data pipelines (batch and real-time)
  • Data quality, reliability, observability
  • Cloud-based data platforms (AWS)
  • Distributed data systems architecture
  • Python, Golang programming languages

Nice-to-have

  • Fintech or fraud domain experience
  • ML or fraud/risk systems support
  • Startup or growth-stage environments
  • Continuous improvement culture

Key Requirements

  • 2-5+ years engineering management experience
  • Senior/staff data or backend engineer background
  • Experience building and scaling data platforms
  • Proficiency in Python, Golang
  • Experience with cloud data platforms (AWS, GCP, Azure)
  • Strong SQL and database knowledge
  • Experience with big data and streaming technologies preferred
  • Familiarity with data lakes, warehouses preferred

Work Rights

Not specified

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