Senior DataOps Engineer: Data Platform & Reliability

Upperline Health; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Upperline Health is seeking an experienced data architect to own the architecture and evolution of the application data layer, ensuring scalable, secure data services. You will collaborate with React/TypeScript engineers and platform teams to deliver robust, observable data platforms for enterprise health applications.

Responsibilities include API contracts, identity and access modeling, and zero‑downtime migrations, with a strong emphasis on data quality, performance, and security across the

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent.
• Senior-level experience in DataOps, Platform Engineering, or related roles.
• Proven track record in designing and operating production data layers and ingestion systems.

Responsibilities

• Own the architecture, evolution, and performance of the application data layer.
• Design APIs and data services with clear contracts, versioning, and error handling.
• Model identity, authentication, authorization data with security teams.
• Define safe schema evolution, migrations, and zero-downtime deployment.
• Partner with React/TypeScript teams to align data models with frontend needs.
• Implement data-quality checks, telemetry, and operational metrics.

Skills

Data architecture

SQL proficiency

API design

Redis caching

CI/CD

Cloud platforms

Security & compliance

Data modeling

React/TypeScript collaboration

Education

Bachelor's degree in Computer Science or related field

Senior-level Data/Platform Engineering experience

Tools

Redis

RESTful APIs

GraphQL

Git

CI/CD tooling

AWS/Azure/GCP

Job description

Upperline Health is seeking an experienced data architect to own the architecture and evolution of the application data layer, ensuring scalable, secure data services. You will collaborate with React/TypeScript engineers and platform teams to deliver robust, observable data platforms for enterprise health applications.

Responsibilities include API contracts, identity and access modeling, and zero‑downtime migrations, with a strong emphasis on data quality, performance, and security across the