Engineering Manager, Data Platform (Remote)

Engineering Manager, Data PlatformWe're partnering with a well-funded and profitable infrastructure-focused fintech company building large-scale identity, risk, and decisioning systems used across highly regulated industries. The platform processes massive volumes of real-time data and powers mission-critical fraud detection and machine learning systems for enterprise customers.Why This Role Stands OutThis is not a traditional analytics-focused data engineering role. You'll lead a highly technical platform team responsible for real-time, low-latency data systems that directly power production decisioning, ML infrastructure, and customer-facing products at scale.The RoleWe're looking for an Engineering Manager to lead a Data Platform team responsible for building and scaling the infrastructure behind real-time data ingestion, processing, storage, and serving systems. This team owns foundational platform infrastructure that enables machine learning, fraud/risk modeling, internal analytics, and production APIs. You'll lead engineers working across distributed systems, data infrastructure, and operational platform engineering — helping evolve the company's next generation of scalable data systems.This role combines deep technical leadership with people management. You should still enjoy getting into architecture discussions, reviewing systems at depth, and helping solve hard engineering problems, while also mentoring engineers and driving execution across the organization. This is a remote US-based role.What You'll Work OnLead and grow a team of engineers focused on scalable data platform infrastructureDefine technical direction across ingestion, transformation, storage, and serving layersBuild and evolve batch and real-time data pipelines powering production systemsImprove reliability, observability, scalability, and performance across platform servicesPartner closely with Data Science, Product, and Engineering teamsSupport ML and decisioning systems with fast, reliable, high-quality dataDrive operational excellence around monitoring, incident response, and platform reliabilityEstablish standards around governance, schema management, and platform architectureMentor engineers while maintaining a high technical hiring barContribute to system design, architecture reviews, and technical problem solvingTech StackPython, Golang, AWS, PostgreSQL, Redshift, Spark, EMR, Docker, OpenSearch, distributed data systems, real-time processing infrastructureIdeal Background6–10+ years of experience as a senior/staff-level backend or data-focused engineer2–5+ years of engineering management experience leading platform or data teamsStrong experience building production-grade data infrastructure and distributed systemsExperience with low-latency, real-time data platforms and operational data systemsBackground in platform engineering, backend infrastructure, or data-intensive systemsStrong cloud infrastructure experience (AWS preferred)Comfortable operating in fast-paced startup or scale-up environmentsExcellent communication skills with the ability to lead deeply technical discussionsHands-on technical mindset despite management responsibilitiesExperience supporting ML, fraud/risk, search, cybersecurity, fintech, or decisioning systems is highly valuedNice to HaveExperience with Spark, Kafka, Flink, or streaming infrastructureExposure to ML infrastructure or feature platform systemsExperience with modern data lake/warehouse architecturesFintech, cybersecurity, fraud detection, or highly regulated industry experiencePrior experience at high-growth B2B infrastructure or platform companiesCompensation & Benefits$200,000–$240,000 base salary + equityCompetitive healthcare coverage for employees and dependents401(k) with company matchFlexible PTOHome office stipendRegular in-person company eventsFully remote flexibility within the US