Staff Software Engineer: Architect Scalable, Secure Data Platforms

Datavant; United States; On-site; USD 220,000 - 275,000; Full time

Job summary

Datavant is hiring a Staff Software Engineer to shape technical direction and architecture for our data collaboration platform. You will drive innovation across verticals, mentor senior engineers, and influence decisions at the organizational level to maximize impact.

Responsibilities include defining scalable patterns, leading cross-team initiatives in data architecture, security, and reliability, and advising leadership on major tradeoffs.

Qualifications

• 10+ years of software engineering experience with system design mastery.
• Deep experience with large-scale distributed systems and multi-cloud architectures.
• Strong organizational influence and ability to align teams across verticals.
• Ability to translate strategic objectives into scalable engineering execution.
• Commitment to mentorship, technical excellence, and continuous improvement.

Responsibilities

• Define and lead multi-team technical strategies for scalability and interoperability.
• Design frameworks and reusable systems used across multiple engineering pods and define patterns.
• Drive cross-functional initiatives in data architecture, security, and reliability.
• Advise leadership on technical direction and tradeoffs; represent engineering in exec decisions.
• Mentor senior engineers and influence architectural evolution.

Skills

Distributed systems

Multi-cloud

Mentorship

Strategic leadership

Security & compliance

Tools

Python

Go

Java

TypeScript

React

Kubernetes

Docker

Snowflake

Spark

Airflow

Kafka

Kinesis

DataDog

Grafana

CloudWatch

OAuth2/SAML

Job description

Datavant is hiring a Staff Software Engineer to shape technical direction and architecture for our data collaboration platform. You will drive innovation across verticals, mentor senior engineers, and influence decisions at the organizational level to maximize impact.

Responsibilities include defining scalable patterns, leading cross-team initiatives in data architecture, security, and reliability, and advising leadership on major tradeoffs.