Data Platform Engineering Manager
Summary
Lead a team of data platform engineers to build and scale real-time streaming systems, AI-driven automation, and cloud-native data infrastructure for a fintech company.
You will lead and grow a team of data platform engineers, own the architecture and roadmap for real-time streaming systems, drive AI-powered automation, evolve lake and warehouse architecture, set technical direction, and hire, mentor, and retain engineers. You will align platform investments with stakeholder needs and turn long-term vision into quarterly roadmaps.
Responsibilities
- Lead and grow a team of senior data platform engineers
- Own the architecture and roadmap for real-time data systems
- Design and operate scalable data architecture
- Drive AI automation and intelligent workflows
- Partner with ML, AI, analytics, and product engineering teams
- Evolve data lake and warehouse architecture
- Set technical direction
- Hire, mentor, and retain platform engineers
- Manage stakeholder priorities
- Translate platform vision into quarterly roadmaps
Requirements
- 8+ years in data engineering, platform engineering, or distributed systems
- At least 3 years managing engineering teams
- AWS data lake experience
- Data modeling and data quality practices
- Real-time data at scale
- Kafka, Spark Streaming, Debezium, and CDC pipelines
- Stakeholder management
- Communication skills
- AI or ML-powered data workflow automation
- Python, Scala, or Java
- Cloud-native data infrastructure
- Remote engineering team management
- Recruiting and developing engineers
- Quarterly roadmap planning
- Servant leadership