Senior Data Platform Engineer

Headquarters

Remote

URL
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is the #1 solution for profitable resource management. Used by 4500+ professional services teams globally, it helps Operations and Finance leaders achieve profitable delivery at scale, with the right talent in place.

Float offers a single source of truth to plan, resource, and report on client work. With its scheduling interface, forecasting, and built-in financial insights, it enables top teams to keep their people and profit on track. Float has grown since 2012, is self-funded and profitable, and operates 100% remotely with perks and benefits designed to support Best Work Life. The team collaborates across Australia, Mexico, the UK, Nigeria, Canada, and the US.

Float is a certified B Corporation committed to positive impact for the team, customers, the environment, and the remote community.

We are on a scale-up journey and seek people who thrive in this environment, with autonomy and opportunity to do the best work of their career.

The customer base is growing and there is a need for stronger data infrastructure to support the platform and strategic goals. This is a new role at the intersection of engineering and data. It will bring expertise to improve data quality, scale critical CDC pipelines, and unlock efficiencies across systems. You will partner with Engineering, Analytics, and Intelligence teams to ensure we collect the right data and use it to power smarter decisions.

We have strong foundations in product and analytics, and the role focuses on platform-focused data engineering to enable new work streams tied to our 2026 Strategy, including AI/RRE and the next evolution of reporting. If you enjoy cross-team work, improving data quality at scale, and building infrastructure that helps us and our customers grow confidently, we’d love to meet you.

The role reports to Roberto, Senior Staff Engineer (Architecture). A video explaining the role in the Data team is available.

You will work asynchronously with a bright, dedicated global team, solving complex problems in ways that feel simple and intuitive for customers.

Early on, you’ll jump right into:

• Data ecosystem onboarding
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  Learn how our services, databases, and data warehouse are structured and interact.
• Data quality contribution
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  Contribute to data quality initiatives such as the Talent Graph (a knowledge graph mapping relationships between projects, people, and attributes). Focus on making data more accurate, actionable, and future-ready.
• CDC initiative support
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  Join CDC-related efforts including real-time transformations and implementing Data Contracts for improved consistency and maintainability.

Once settled, you will work on:

• CDC ownership and evolution
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  Lead CDC initiatives with long-term planning and system resilience in mind.
• Platform-driven data quality leadership
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  Own data quality initiatives from the platform side, adding observability, reducing regressions, and improving trust in downstream data.
• Data warehouse maintenance and support
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  Maintain and evolve analytics data warehouse, support migrations and performance improvements with the Data team.
• Architectural improvement proposals
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  Identify and drive improvements to data architecture for scalability and consistency.

We want you to love your work and believe these skills will help you succeed. Required skills include:

• CDC and event-driven architecture expertise
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  Deep experience with tools like Debezium, Kafka, and Data Contracts in production environments.
• Strong data infrastructure skills
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  Comfortable with schema evolution, back filling, pipeline reliability, and improving system-level data quality across databases (e.g., columnar, graph, and more).
• Autonomous technical leadership
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  Ability to frame problems, propose solutions, and lead implementation independently in a remote, async-first setting.
• Cross-functional collaboration
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  Experience working closely with other engineering and data teams to align goals and unblock dependencies.
• Clear written communication
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  Document design notes, runbooks, specs, and share progress in an async environment.
• Experience with our…