[Remote] Senior Engineering Manager, Data Platform

Note: The job is a remote job and is open to candidates in USA. SentiLink is a company providing innovative identity and risk solutions, and they are seeking a Senior Engineering Manager to lead their Data Platform team. This role involves building and scaling the data infrastructure that powers SentiLink’s products, ensuring data reliability and accessibility, and collaborating closely with various teams to support data-driven decision-making.ResponsibilitiesLead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructureDefine and drive the technical vision for data ingestion, processing, storage, and serving systemsDesign and evolve scalable data pipelines (batch and real-time) to support product and data science use casesEnsure high standards for data quality, reliability, and observability across all data systemsPartner with Data Science to enable their pipelines and enable efficient access to high-quality dataCollaborate with Product and Engineering teams to power data-driven features and decisioning systemsWork closely with Infrastructure to optimize performance, cost, and scalability of data systemsEstablish best practices for data governance, schema management, and pipeline reliabilitySupport operational excellence, including monitoring, alerting, and incident response for data systemsHire, mentor, and develop engineers while maintaining a high hiring barFoster a culture of ownership, accountability, and continuous improvementContribute to architecture and technical problem-solving as neededSkills3 - 7 years of engineering management experience leading data or platform teamsStrong background as a senior or staff-level data engineer or backend engineer with data focusExperience building and scaling data platforms, including ETL/ELT pipelines and data infrastructureProficiency in Python, Golang, or similar languagesDeep understanding of distributed data systems, batch and streaming architecturesExperience with cloud-based data platforms (AWS, GCP, or Azure)Strong knowledge of databases, data modeling, and query optimization (SQL, RDBMS, data warehouses)Track record of delivering reliable, scalable data systems in production environmentsComfortable leading technical discussions and diving into system design detailsExperience operating in fast-paced, startup or growth-stage environmentsExperience with big data and streaming technologies (Spark, Kafka, Flink, etc.)Familiarity with data lakes, warehouses (Redshift), and modern data architecturesExperience building data platforms that support ML or fraud/risk systemsFintech or fraud domain experienceBenefitsEquityBenefitsEmployer paid group health insurance for you and your dependents401(k) plan with employer match (or equivalent for non US-based roles)Flexible paid time offRegular company-wide in-person eventsHome office stipend, and more!Company OverviewSentiLink is an identity verification technology company that helps in detecting and blocking synthetic identities. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://www.sentilink.com.Company H1B SponsorshipSentiLink has a track record of offering H1B sponsorships, with 2 in 2026, 7 in 2025, 4 in 2024, 6 in 2023, 4 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.