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Senior Data Platform Engineer

SentiLink

full-remoteseniorpermanentdatabackend New York, NY 3 days ago via LinkedIn

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Tags

PythonGolangAWSPostgreSQLOpenSearchRedshiftSparkETL/ELTData ObservabilityKubernetes

About the role

Role overview

As a Senior Data Platform Engineer on SentiLink’s Data Platform team, you will own and evolve the data infrastructure that powers the company’s fraud detection products. You’ll partner with product, engineering, and data science teams to build and improve the data platform, ensuring accuracy, reliability, and scalability.

Responsibilities

  • Build, expand, and optimize data infrastructure to produce the most accurate dataset of identities and their relationships
  • Develop and operate secure, scalable ingestion and ETL/ELT pipelines that meet product requirements
  • Design and maintain a data observability framework to enforce strict quality and freshness standards
  • Optimize the data storage layer and build/maintain interfaces for fast, scalable access to data stores
  • Collaborate with product squads to support delivery of existing and new products
  • Participate in on-call / call rotation for production issues
  • Mentor junior engineers and contribute to evolving engineering best practices
  • Drive innovation through hackathons and proof-of-concepts (POCs)
  • Develop functional subject-matter expertise in identity fraud domain areas

Requirements

  • 5+ years of experience in software engineering, data engineering, or related fields
  • Proficiency in Python or Golang and related technologies/frameworks
  • Experience building and maintaining ETL/ELT pipelines at scale using distributed processing (e.g., Spark, Hadoop, Kafka, or similar)
  • Hands-on experience with public cloud platforms, especially AWS (or Azure/GCP)
  • Strong understanding of database technologies (e.g., PostgreSQL/RDBMS, OpenSearch/NoSQL, columnar stores) and query optimization
  • Experience building enterprise-grade, scalable, containerized data services/frameworks, including Kubernetes

Nice-to-haves / signals from the stack

  • Experience with AWS data services such as Redshift, EMR, Lambda
  • Familiarity with Docker and cloud-native data infrastructure
  • Building/operating data pipelines using OpenSearch and search/vector use cases

About SentiLink

SentiLink provides identity and risk solutions that help institutions and individuals verify identities to transact with confidence. The company builds real-time identity verification and fraud detection capabilities, and it serves financial services while expanding into new markets. It operates as a digital-first organization with a presence in the US and India.

Scraped 7/31/2026