Senior Data Platform SRE: Cloud, Databricks & Observability

Datavant; Jefferson City (MO); On-site; USD 168,000 - 200,000; Full time

Job summary

Datavant is seeking a Senior Site Reliability Engineer to join our Data & ML Platform team. You will build a resilient, observable data platform supporting ML workloads across a hybrid cloud environment, partnering with data scientists and engineers to deliver secure, scalable solutions.

You will own platform reliability, implement Datadog-based observability, and drive CI/CD for data pipelines and ML components using GitHub Actions and Terraform.

Qualifications

• 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications.
• AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, with views on how they make a team faster.
• 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.
• Advance observability: build platform-wide monitoring, alerting, and logging infrastructure with Datadog and other tools; define 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 (Snowflake, S3, Delta Lake, Kafka).
• Champion event-driven architectures: use EventBridge, SNS/SQS, and Lambda to build scalable data systems.
• Collaborate across teams: act as 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

Cloud infrastructure

Databricks experience

Datadog observability

GitHub Actions

Terraform IaC

Python scripting

Shell scripting

Communication skills

Tools

Databricks

Snowflake

AWS

Terraform

GitHub Actions

Datadog

Lambda

EventBridge

Job description

Datavant is seeking a Senior Site Reliability Engineer to join our Data & ML Platform team. You will build a resilient, observable data platform supporting ML workloads across a hybrid cloud environment, partnering with data scientists and engineers to deliver secure, scalable solutions.

You will own platform reliability, implement Datadog-based observability, and drive CI/CD for data pipelines and ML components using GitHub Actions and Terraform.