Staff Software Engineer, Data Platform

SentiLink protects institutions and consumers from identity fraud through fraud detection and identity verification solutions. The Staff Software Engineer will define the technical direction of the Data Platform, design critical data infrastructure, lead scalable batch and streaming pipelines, and influence architecture and engineering standards across teams.

Responsibilities:

• Define the long-term technical vision and architecture for SentiLink's Data Platform
• Design and evolve large-scale data infrastructure that powers our identity and fraud detection systems
• Lead the architecture of secure, scalable, and highly reliable batch and streaming data pipelines capable of processing billions of records
• Drive improvements in scalability, reliability, performance, observability, and operational excellence for the data platform
• Partner with Product, Engineering, Data Science, and Infrastructure teams to solve cross-functional technical challenges and align platform investments with company priorities
• Establish engineering standards, architectural patterns, and best practices for data infrastructure across multiple teams
• Make thoughtful build-versus-buy decisions and evaluate emerging technologies to improve platform capabilities
• Drive operational excellence by improving production reliability, incident response, and system observability
• Participate in production support and on-call rotation while improving systems to reduce operational burden over time
• Develop deep subject matter expertise in identity, fraud detection, and large-scale data processing

Requirements:

• • 10+ years of experience in software engineering, data engineering, or a related field, with demonstrated ownership of large-scale distributed systems
• • Expert-level proficiency in Python or Golang
• • Extensive experience designing and operating large-scale ETL/ELT and streaming data platforms using technologies such as Spark, Kafka, Flink, Hadoop, or similar distributed processing frameworks
• • Strong experience designing scalable distributed systems in AWS, Azure, or GCP
• • Deep expertise across multiple data storage technologies, including relational databases (PostgreSQL), search platforms (OpenSearch), columnar data stores, object storage, and modern data lake architectures
• • Experience designing highly available, containerized services running on Kubernetes or similar orchestration platforms
• • Strong understanding of Infrastructure-as-Code, CI/CD, observability, and modern DevOps practices
• • Demonstrated ability to lead technical initiatives spanning multiple engineering teams
• • Proven experience making architectural decisions that balance scalability, reliability, maintainability, and developer productivity
• • Strong communication skills with the ability to influence technical direction across teams and levels
• • Comfortable operating in ambiguous environments while independently driving complex initiatives from concept to execution
• This is a remote, US-based role
• • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3, Lambda, and Glue
• • Experience designing data platforms supporting machine learning or AI workloads
• • Prior experience at a high-growth infrastructure, fintech, or data-intensive technology company