1d ago

Engineering Manager, Data Knowledge Platform

San Francisco, CA

$200k-$288k / year

full-timelead Hybridfinance

๐Ÿ›  Tech Stack

๐Ÿ’ผ About This Role

You'll define the multi-year technical roadmap for the real-time data platform and lead modernization efforts at petabyte scale. Your core impact will be empowering AI-powered applications and real-time dashboards across the company. This role is based in San Francisco.

๐ŸŽฏ What You'll Do

  • Define 1-3 year strategic roadmap for the Realtime Data Platform
  • Lead modernization of core data platform with real-time petabyte-scale processing
  • Partner with product teams to enable AI-powered and real-time data features
  • Scale and structure engineering teams through hiring and mentoring

๐Ÿ“‹ Requirements

  • 8+ years in data or software engineering
  • 3+ years in a leadership or management role
  • Experience managing an engineering team of 10+ people
  • Deep understanding of distributed data processing (Spark, Databricks) and event streaming (Kafka)

โœจ Nice to Have

  • Experience in the financial domain
  • Hands-on design for modern Lakehouse architecture
  • Excellent written and verbal communication skills

๐ŸŽ Benefits & Perks

  • ๐Ÿ’ฐ Competitive compensation: $200K โ€“ $288K
  • ๐Ÿ“ˆ Equity offered
  • ๐ŸŽฏ Bonus offered

๐Ÿ“จ Hiring Process

Estimated timeline: 3-5 weeks ยท AI estimate

  1. 1Recruiter Screenยท 30 min
  2. 2Technical Interviewยท 60 min
  3. 3Hiring Manager Interviewยท 60 min
  4. 4Onsite Loopยท 4 hours
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