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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CDC expertiseevent-driven architectureschema evolutionpipeline reliabilitydata quality improvementdata architecturereal-time transformationsdata contractsdata warehouse maintenanceobservability

Soft Skills

autonomous technical leadershipcross-functional collaborationclear written communication