Float.com
The #1 rated tool to plan capacity and schedule project work.
Senior Data Platform Engineer
Location
New York
Posted
36 days ago
Salary
$169.4K / year
Bachelor DegreeExperience acceptedEnglishCloudGoogle Cloud PlatformKafkaKubernetesMongo DBMy SQLNeo4jType Script
Job Description
• 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.
Job 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.
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