Engineering Manager, Data Platform

Engineering Manager – Data Platform

Responsible for building and scaling the data infrastructure that powers Senti Link’s products and decisioning systems. This remote U.S.

-based role leads a team of data engineers and partners closely with Data Science, Product, and Engineering to ensure reliable, actionable data across the company.

• Golang, Python
• Postgre
  
  SQL (RDS), Redshift, EMR, Spark
• Docker, Open Search, AWS (Lambda, Cognito, other services)

• Lead and grow a team of data engineers responsible for the data platform and infrastructure
• Define and drive the technical vision for data ingestion, processing, storage, and serving systems
• Design and evolve scalable data pipelines (batch and real‑time) to support product and data science use cases
• Ensure high standards for data quality, reliability, and observability across all data systems
• Partner with Data Science to enable pipelines and efficient access to high-quality data
• Collaborate with Product and Engineering to power data‑driven features and decisioning systems
• Work closely with Infrastructure to optimize performance, cost, and scalability of data systems
• Establish best practices for data governance, schema management, and pipeline reliability
• Support operational excellence, including monitoring, alerting, and incident response for data systems
• Hire, mentor, and develop engineers while maintaining a high hiring bar
• Foster a culture of ownership, accountability, and continuous improvement
• Contribute to architecture and technical problem‑solving as needed

• 2‑5+ years of engineering management experience leading data or platform teams
• Strong background as a senior or staff‑level data engineer or backend engineer with data focus
• Experience building and scaling data platforms, including ETL/ELT pipelines and data infrastructure
• Proficiency in Python, Golang, or similar languages
• Deep understanding of distributed data systems, batch and streaming architectures
• 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
• Comfortable leading technical discussions and diving into system design details
• Experience operating in fast‑paced, startup or growth‑stage environments
• Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.) preferred
• Familiarity with data lakes, warehouses (Redshift), and modern data architectures preferred
• Experience building data platforms that support ML or fraud/risk systems preferred
• Fintech or fraud domain experience preferred

$200,000/year - $240,000/year + equity + benefits

• Employer‑paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non‑U.S.–based roles)
• Flexible paid time off
• Regular company‑wide in‑person events
• Home office stipend, and more!

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart