Staff Data Platform Engineer - Scale & Architecture (Remote)

SentiLink; Austin (TX); On-site; USD 220,000 - 260,000; Full time

Benefits offered by this job

Employer-paid health insurance

401(k) with employer match

Flexible paid time off

Home office stipend

Company events

Job summary

SentiLink is seeking a Staff Software Engineer to lead the Data Platform, shaping the design and evolution of critical data infrastructure that powers fraud detection products. You will collaborate with engineering leadership and cross-functional teams to drive scalable, reliable systems.

You will mentor engineers, influence architecture across multiple teams, and set standards for data infrastructure while working remotely in the US.

Qualifications

• 10+ years of experience in software engineering, data engineering, or a related field with ownership of large-scale distributed systems.
• Expert-level proficiency in Python or Golang.
• Experience designing and operating large-scale ETL/ELT and streaming data platforms (Spark, Kafka, Flink, Hadoop)
• Strong experience designing scalable distributed systems in AWS, Azure, or GCP.
• Leadership of technical initiatives across multiple engineering teams.

Responsibilities

• Define the long-term technical vision and architecture for SentiLink's Data Platform.
• Design and evolve large-scale data infrastructure powering identity and fraud detection systems.
• Lead the architecture of secure, scalable batch and streaming data pipelines 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 align platform investments with priorities.
• Establish engineering standards and best practices for data infrastructure across teams.

Skills

Python

Golang

Communication skills

Tools

Spark

Kafka

Flink

Hadoop

Job description

SentiLink is seeking a Staff Software Engineer to lead the Data Platform, shaping the design and evolution of critical data infrastructure that powers fraud detection products. You will collaborate with engineering leadership and cross-functional teams to drive scalable, reliable systems.

You will mentor engineers, influence architecture across multiple teams, and set standards for data infrastructure while working remotely in the US.