Senior SRE - Data & ML Platform, Cloud & Observability

Datavant; Helena (MT); On-site; USD 168,000 - 200,000; Full time

Job summary

Datavant is seeking a Senior Site Reliability Engineer to join the Data & ML Platform team. You’ll own the Databricks and Snowflake platforms, architect for reliability, and build scalable, secure infrastructure across a hybrid cloud environment.

You’ll drive observability with Datadog, implement CI/CD using GitHub Actions and Terraform, and enable data flows across Snowflake, S3, Delta Lake, and Kafka. Collaboration with data scientists, analysts, and product teams is essential for

Qualifications

• 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications.
• Hands-on Databricks experience, including workspace setup, cluster/job management, and integration with CI/CD and data orchestration tools. Experience with Snowflake as well.
• Deep understanding of cloud-native infrastructure on AWS (or similar), including VPCs, IAM, event-driven patterns, and serverless compute.
• Proven expertise with observability tools (Datadog) and architecting platform-wide logging and monitoring solutions.
• Strong command of CI/CD tooling, especially GitHub Actions, infrastructure-as-code (Terraform), and deployment automation for data systems.
• Working knowledge in shell scripting and Python.
• Experience building and supporting highly available, fault-tolerant systems.
• Excellent communication and collaboration skills; able to work effectively across teams.

Responsibilities

• Operate and Improve Databricks and Snowflake platforms lifecycle, including automation, workspace governance, job orchestration, and cost optimization.
• Design for Reliability: architect resilient, scalable, and secure infrastructure across cloud environments; drive failover, autoscaling, chaos testing, and capacity planning.
• Advance Observability: build platform-wide monitoring, alerting, and logging using Datadog and open tooling; define and enforce SLOs/SLAs.
• Drive CI/CD for Data & ML: automate deployments of data pipelines, ML workflows, and infra components using GitHub Actions, Terraform, and related IaC tooling.
• Enable Data Flow Across Platforms: build patterns and tooling for inter- and intra-cloud data movement across Snowflake, S3, Delta Lake, and Kafka.
• Champion Event-Driven Architectures: leverage EventBridge, SNS/SQS, and Lambda for loosely coupled, scalable data systems.
• Collaborate Across Teams: serve as the SRE and platform partner for analytics, data science, and product use cases.
• Contribute to Strategy: influence data platform architecture, ML enablement, and data product strategy.

Skills

SRE experience

Databricks

Snowflake

AWS cloud

Datadog

GitHub Actions

Terraform

Python

Shell scripting

CI/CD

Tools

Databricks

Snowflake

Terraform

GitHub Actions

Job description

Datavant is seeking a Senior Site Reliability Engineer to join the Data & ML Platform team. You’ll own the Databricks and Snowflake platforms, architect for reliability, and build scalable, secure infrastructure across a hybrid cloud environment.

You’ll drive observability with Datadog, implement CI/CD using GitHub Actions and Terraform, and enable data flows across Snowflake, S3, Delta Lake, and Kafka. Collaboration with data scientists, analysts, and product teams is essential for