Senior Data Platform Engineer

Ovii's Interpretation of the Role

SentiLink seeks a Senior Data Platform Engineer to own and evolve the data infrastructure that powers its identity‑verification and fraud‑detection products. The role is remote‑first for U.S. candidates and requires deep engineering expertise across cloud, databases, and large‑scale ETL pipelines.

Role Snapshot

• Own end‑to‑end data platform
• Build scalable ETL/ELT pipelines
• Ensure data quality and observability
• Collaborate with product and data‑science squads
• Mentor junior engineers
• Drive innovation via hackathons

Must-Have Requirements

• Python
• Golang
• ETL/ELT pipeline development at scale
• Distributed processing (Spark, Hadoop, Kafka)
• Public cloud platforms (AWS, Azure, GCP)
• RDBMS and NoSQL databases (PostgreSQL, OpenSearch, Redshift)
• Containerized data services on Kubernetes
• Infrastructure‑as‑Code / DevOps practices
• Agile/Scrum development
• software engineering
• data engineering
• large‑scale ETL pipelines
• distributed data processing
• must be legally authorized to work in the United States
• must reside in the United States

Nice-to-Have Signals

• Spark on EMR
• Streaming application development
• AWS EKS, SQS/SNS, S3
• Fintech startup experience
• Hadoop
• Kafka
• Microsoft Azure
• Google Cloud Platform
• fintech startup background
• streaming data applications
• advanced AWS services
• Fintech

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must be legally authorized to work in the United States
• Visa sponsorship: no

Not Specified in JD

• Visa sponsorship
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Design, build, and expand data infrastructure for identity datasets
• Develop secure, scalable ETL/ELT pipelines using Spark, Hadoop, Kafka or similar
• Create a data observability framework to enforce quality and freshness
• Optimize storage and build fast‑access interfaces to PostgreSQL, OpenSearch, Redshift, etc.
• Partner with product squads to meet data platform needs for new and existing features
• Participate in on‑call rotation to resolve production incidents
• Mentor junior engineers and champion engineering best practices
• Contribute to hackathons and proof‑of‑concept projects
• Develop domain expertise in identity‑fraud detection

Good Fit If You Have

• Hands‑on Spark/EMR experience
• Built streaming data applications
• Worked with AWS services such as EKS, SQS/SNS, S3
• Prior experience in a fintech startup
• Strong analytical problem‑solving and a sense of humor