1d ago
Engineering Manager, Data Knowledge Platform
San Francisco, CA
$200k-$288k / year
full-timelead Hybridfinance
๐ Tech Stack
๐ผ 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.
๐ฏ 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
๐ 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)
โจ Nice to Have
- Experience in the financial domain
- Hands-on design for modern Lakehouse architecture
- Excellent written and verbal communication skills
๐ Benefits & Perks
- ๐ฐ Competitive compensation: $200K โ $288K
- ๐ Equity offered
- ๐ฏ Bonus offered
๐จ Hiring Process
Estimated timeline: 3-5 weeks ยท AI estimate
- 1Recruiter Screenยท 30 min
- 2Technical Interviewยท 60 min
- 3Hiring Manager Interviewยท 60 min
- 4Onsite Loopยท 4 hours
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