Senior Data Platform SRE — Scale, Reliability & Observability

Datavant

Nashville (TN)

On-site

USD 168,000 - 200,000

Full time

7 days ago
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Job summary

Datavant is seeking a Senior Site Reliability Engineer to lead reliability, observability, and automation across Datavant’s data and ML platform. You will partner with Data & ML Engineers, Data Scientists, and Analytics teams to ensure scalable, secure, and production-grade data systems in a hybrid cloud setup.

You will own platform lifecycle for Databricks and Snowflake, drive cost optimization, and implement CI/CD with GitHub Actions and Terraform.

Qualifications

  • 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered apps.
  • Hands-on Databricks experience including workspace setup, cluster/job management, and CI/CD integration.
  • Deep understanding of AWS-based cloud-native infrastructure (VPCs, IAM, event-driven patterns, serverless).
  • Observability with logging/monitoring platforms (Datadog) and SLO/SLAs for critical services.
  • Strong CI/CD skills with GitHub Actions and Terraform IaC.

Responsibilities

  • Operate and improve Databricks and Snowflake platforms end-to-end, including automation and cost optimization.
  • Design reliable, scalable, secure cloud infrastructure across environments.
  • Advance observability with platform-wide monitoring, alerts, and logging.
  • Drive CI/CD for data pipelines and ML workloads using GitHub Actions and IaC.
  • Enable data movement across multi-cloud and hybrid cloud environments.

Skills

SRE experience
Cloud (AWS)
Databricks
Snowflake
Observability (Datadog)
CI/CD (GitHub Actions)
IaC (Terraform)
Python
Shell scripting
High availability

Tools

Databricks
Snowflake
Datadog
GitHub Actions
Terraform

Job description

Datavant is seeking a Senior Site Reliability Engineer to lead reliability, observability, and automation across Datavant’s data and ML platform. You will partner with Data & ML Engineers, Data Scientists, and Analytics teams to ensure scalable, secure, and production-grade data systems in a hybrid cloud setup.

You will own platform lifecycle for Databricks and Snowflake, drive cost optimization, and implement CI/CD with GitHub Actions and Terraform.

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