SentiLink
Senior Engineering Manager, Data Platform
United States · Senior
Sponsorship not specifiedDetected 105 days ago
PythonGoSQLPostgreSQLElasticsearchRedshiftAWSGCPAzureDockerKafkaMachine LearningSparkData AnalysisData EngineeringData ScienceIncident ResponseEHR/EMRLeadershipCollaborationProblem Solving
About the role
- SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence.
- We've seen tremendous traction and are growing extremely quickly.
- SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
Responsibilities
- Lead and grow a team of data engineers responsible for SentiLink's data platform and infrastructure
- Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases
- Partner with Data Science to enable their pipelines and enable efficient access to high-quality data
- Collaborate with Product and Engineering teams to power data-driven features and decisioning systems
- Work closely with Infrastructure to optimize performance, cost, and scalability of data systems
- Support operational excellence, including monitoring, alerting, and incident response for data systems
- Hire, mentor, and develop engineers while maintaining a high hiring bar
- We're building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
- We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.
- This team owns the pipelines, storage systems, and data services that enable all of our products, data analysis and business intelligence.
Requirements
- 7 years of engineering management experience leading data or platform teams
- Proficiency in Python, Golang, or similar languages
- Experience 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 environments
- Experience operating in fast-paced, startup or growth-stage environments
Nice to have
- Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.) preferred
- Familiarity with data lakes, warehouses (Redshift), and modern data architectures preferred
- Fintech or fraud domain experience preferred
Skills
- Golang, Python, PostgreSQL (RDS), Redshift, EMR, Spark, Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services)
- Ensure high standards for data quality, reliability, and observability across all data systems
- Establish best practices for data governance, schema management, and pipeline reliability
- Foster a culture of ownership, accountability, and continuous improvement
- Contribute to architecture and technical problem-solving as needed
Compensation
- $200,000/year - $260,000/year + equity + benefits
Benefits
- Employer paid group health insurance for you and your dependents
- Flexible paid time off
- Home office stipend, and more!
- Define and drive the technical vision for data ingestion, processing, storage, and serving systems
- These systems are foundational to how we detect fraud, power machine learning models, and deliver insights to customers.
Company info
- Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets.
- We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection.
- We're looking for a Senior Engineering Manager to lead our Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink's products and decisioning systems.
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