Senior Data Platform Engineer
Float · Anywhere in the World · posted 8 months ago
Who We Are
Why We’re Hiring for This Role
What You’ll Be Responsible For
- Onboard into Float’s data ecosystem and understand how services, databases, and the data warehouse connect
- Contribute to data quality initiatives such as the Talent Graph, improving accuracy and long-term usability
- Support CDC initiatives including real-time transformations and implementing Data Contracts
As You Ramp Up
- Take ownership of CDC pipelines and lead their evolution for long-term resilience
- Drive platform-level data quality efforts, introducing observability and reducing regressions
- Help maintain and evolve the data warehouse in partnership with the Data team
- Propose and lead architectural improvements focused on scalability, consistency, and future platform needs
What You’ll Need to Succeed
- Deep experience with CDC and event-driven architectures (e.g., Debezium, Kafka, Data Contracts)
- Strong data infrastructure skills, including schema evolution, backfills, and pipeline reliability
- Ability to lead technical initiatives independently in a remote, async-first environment
- Strong cross-functional collaboration with engineering and data partners
- Clear written communication for design docs, runbooks, and async updates
- Hands-on experience with modern tooling such as TypeScript services, Kafka, Debezium, cloud databases (MySQL, MongoDB, Neo4j), GCP, containers, Kubernetes, CI/CD, and monitoring/alerting tools
- Comfort working in an asynchronous, remote environment using tools like Slack, Loom, and Linear
Why Join Float
- Compensation: US $169,442 (Level 3), with transparent salary philosophy
- Global, async-first remote team with minimal meetings and deep focus time
- Open culture of transparency: Our Float Handbook is public so you can see how we work
- Values-driven company: Certified B Corp with a commitment to people, planet, and profit
- Autonomy & impact: Real ownership over meaningful systems and long-term platform direction
Hiring Process
- Application (3 short questions): Thoughtful responses matter more than quick ones
- Intro Call (20 min): Meet our Talent Manager to discuss your interest and questions
- Manager Interview (60 min): Deep dive with senior engineers
- Take-Home Assignment (2 hours, paid): Practical, respectful of your time
- Peer Interview (45 min): Meet teammates you’ll collaborate with
- Founder Interview (30 min): Final culture and fit conversation
You’re welcome to use AI tools to support your application, but we want to hear your own voice. We read every application carefully, and authenticity matters.
We encourage candidates from underrepresented backgrounds to apply even if you don’t meet every requirement. If you believe you can add value, we’d love to hear from you.
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