Senior Data Platform Engineer

Float.com • New York, NY

19h • Remote

About The Position

Float.com is the #1 solution for profitable resource management. Used by 4500+ of the best professional services teams globally, it gives Operations and Finance leaders the insight and foresight they need to achieve profitable delivery at scale, with the right talent in place.
Unlike disconnected spreadsheets or complex PSAs, Float offers a single, clear source of truth to plan, resource, and report on client work. With its robust scheduling interface, accurate forecasting, and built-in financial insights, it enables the world’s top teams—Ogilvy, Deloitte, KPMG, and M&C Saatchi—to keep their people and profit on track.
Since 2012, we’ve grown every year—independently, self-funded, and profitably. As a certified B Corporation, we’re committed to making a positive impact on our team, customers, the environment, and the remote community. Our 60+ person team works 100% remotely across the globe, with perks and benefits designed to support us in living our Best Work Life. You'll collaborate with teammates across Australia, Mexico, the UK, Nigeria, Canada, and the US. Browse our blog to get a glimpse of life at Float and check out our Glassdoor employer reviews. See why our customers love Float on G2.
We’re on a scale-up journey, and we’re seeking people who thrive in this stage. We want Float to be the place where you have the autonomy and opportunity to do the best work of your career.
Our customer base continues to grow (🎉!), and with that growth comes the need for stronger data infrastructure to support our platform and strategic goals. This is a new role, and it sits at the intersection of engineering and data. This role will bring expertise to help us improve data quality, scale critical CDC pipelines, and unlock efficiencies across our systems. You’ll partner closely with folks from our Engineering, Analytics, and Intelligence teams to ensure we’re not just collecting the right data, but using it to power smarter decisions and better outcomes.
We’ve already built strong foundations across product and analytics, but platform-focused data engineering is the missing link. This hire will enable new workstreams tied directly to our 2026 Strategy—like preparing for AI/RRE and building the next evolution of our reporting platform. If you’re excited to work across teams, improve data quality at scale, and build infrastructure that helps us (and our customers) grow confidently, we’d love to meet you!
In this role, you’d be reporting to Roberto, our Senior Staff Engineer (Architecture). In this video, Roberto explains the important role you will play within our Data team.Check it out!
You’ll be working asynchronously with a bright, dedicated team from across the globe, with a strong focus on taking complex problems and creating solutions that feel simple and intuitive for our customers.

Requirements

• CDC & event-driven architecture expertise: Deep experience with tools like Debezium, Kafka, and Data Contracts in production environments.
• Strong data infrastructure skills: Comfortable with schema evolution, backfilling, pipeline reliability, and improving system-level data quality across a range of database paradigms (e.g. columnar, graph, and more).
• Autonomous technical leadership: You can frame problems, propose solutions, and lead implementation without close supervision, and can do so effectively in a remote, async-first setting.
• Cross-functional collaboration: You love working closely with other engineering and data teams to align on goals and unblock dependencies.
• Clear written communication: You document your thinking (design notes, runbooks, specs) and share progress proactively in an async environment.
• Experience with our toolstack: Hands-on experience with modern data and platform tools like TypeScript services, Kafka, Debezium, cloud-managed databases (e.g. MySQL, MongoDB, Neo4j), GCP infrastructure, containerized services, Kubernetes, CI/CD pipelines, and monitoring or alerting tools.
• As a fully remote team, we’re looking for someone comfortable with asynchronous communication as the default, which means you have previous remote experience and are comfortable using tools like Slack, Loom, and Linear to communicate as needed.

Responsibilities

• Data ecosystem onboarding: Get familiar with how our services, databases, and data warehouse are structured and interact.
• Data quality contribution: Start contributing to data quality initiatives like the Talent Graph (our version of a knowledge graph, mapping relationships between projects in Float with people and their attributes). Your focus will be on making our data more accurate, actionable, and future-ready.
• CDC initiative support: Join CDC-related efforts including real-time transformations and implementing Data Contracts for improved consistency and maintainability.
• CDC ownership and evolution: Take the lead on CDC-related initiatives, contributing to long-term planning and system resilience across our platform.
• Platform-driven data quality leadership: Own data quality initiatives from the platform side, introducing observability, reducing regressions, and improving trust in downstream data.
• Data warehouse maintenance and support: Help maintain and evolve our analytics data warehouse, supporting migrations and performance improvements in collaboration with the Data team.
• Architectural improvement proposals: Identify and drive improvements to our data architecture, focusing on scalability, consistency, and future platform needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed