Manager, Data Engineering
Team: Engineering
Location: Miami
Commitment: Full-Time
Workplace Type: hybrid
How You'll Make a Difference Day to Day:
- Set technical direction
- Drive architectural improvements to how we ingest, transform, and serve data—improving latency, reliability, and data freshness across the platform
- Strengthen our transformation layers with clear ownership, data quality checks, and well-defined contracts between stages
- Improve our data modeling practices so downstream teams can query confidently
- Lead and grow the team
- Manage, mentor, and develop a nimble team of data engineers
- Build a culture of ownership, quality, speed, and continuous improvement
- Create clarity around priorities, ship cadence, and how the team operates
- Partner across the org
- Work upstream with product engineering to influence how data models are designed in application databases—so they work well with centralized data workflows from day one
- Serve as the primary technical point of contact for stakeholder requests, ensuring projects are scoped and architected before work begins
- Build strong relationships with teams across the company to understand their needs and deliver data they can trust
We’d love to hear from you if you have:
- 5+ years of experience in data engineering, with at least 2 years in a leadership or management role
- Strong hands-on experience with modern data tools
- Deep understanding of data modeling and pipeline architecture patterns
- Experience designing and operating reliable data pipelines at scale
- Ability to switch between strategic planning, people leadership, and hands-on technical contribution
- Clear communication skills—you can translate between technical teams and business stakeholders
- Ability to think through problems from the ground up
- Required to work on-site 3x a week in our Miami office (Coral Gables).
Nice to haves, but NOT required:
- Experience with event-driven architectures, CDC, or streaming technologies
- Background in B2B SaaS, especially with multi-product data complexity
- Familiarity with data contracts or other patterns for managing upstream schema changes
- Experience partnering with application teams to influence source system design
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