Staff Software Engineer: Lead Architect for Scalable Systems

Datavant

Sacramento (CA)

On-site

USD 220,000 - 275,000

Full time

14 days+
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Job summary

Datavant is hiring a Staff Software Engineer to shape the technical direction and architecture of our platform. You will drive innovation across verticals, own large-scale distributed systems, and mentor senior engineers to maximize impact.

You will lead cross-team strategies for scalability, security, and reliability, while guiding architectural evolution and defining reusable patterns across engineering pods.

Qualifications

  • 10+ years of software engineering experience with demonstrated system design mastery.
  • Deep experience with large-scale distributed systems, multi-cloud architectures, data pipelines, and security.
  • 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.
  • Drive cross-functional initiatives in data architecture, security, and reliability.
  • Advise leadership on technical direction and major tradeoffs; represent engineering in executive decisions.
  • Mentor senior engineers and influence architectural evolution.

Skills

Distributed systems
Multi-cloud
Mentorship
Technical leadership
Security & compliance
Data pipelines
Go/Python/Java
Cloud infrastructure

Tools

AWS
Kubernetes
Docker
DataDog
Grafana
CloudWatch
Snowflake/Spark

Job description

Datavant is hiring a Staff Software Engineer to shape the technical direction and architecture of our platform. You will drive innovation across verticals, own large-scale distributed systems, and mentor senior engineers to maximize impact.

You will lead cross-team strategies for scalability, security, and reliability, while guiding architectural evolution and defining reusable patterns across engineering pods.

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