Senior Data Platform SRE – Scalable, Observability-Driven

Datavant; Columbus (OH); 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 will build and operate a resilient, scalable data platform that supports mission-critical workloads across the organization.

You will collaborate with Data Scientists, Analysts, and App Engineers to ensure secure, self-service production-grade systems. The role requires 6+ years in SRE/DevOps, strong cloud and observability skills, and hands-on Databricks/Snowflake experience.

Qualifications

• 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered apps.
• AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent.
• Hands-on Databricks experience, including workspace setup, cluster management, and CI/CD integration. Snowflake experience is a plus.
• Deep understanding of cloud-native infrastructure on AWS (or similar), including VPCs, IAM, event-driven patterns, and serverless compute.
• Observability tools (Datadog) and platform-wide logging/monitoring design.
• Strong CI/CD skills, especially GitHub Actions, Terraform for IaC, and data deployment automation.
• Shell scripting and Python knowledge.
• Experience building highly available, fault-tolerant systems.
• Excellent communication and collaboration across teams.

Responsibilities

• Operate and improve Databricks and Snowflake platforms lifecycle, including automation, workspace governance, job orchestration, and cost optimization.
• Design for reliability: architect scalable, secure infrastructure across cloud environments; drive failover and autoscaling.
• Advance observability: build platform-wide monitoring, alerting, and logging; 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.
• Enable data flow across platforms: patterns and tooling for inter- and intra-cloud data movement across Snowflake, S3, Delta Lake, and Kafka.
• Champion event-driven architectures: use EventBridge, SNS/SQS, and Lambda for scalable data systems.
• Collaborate across teams: act as SRE and platform partner for analytics, data science, and product teams.
• Contribute to strategy: data platform architecture, ML enablement, and data product strategy.

Skills

SRE mindset

Cloud infra

Data platform

Observability

CI/CD tooling

GitHub Actions

Python

Shell scripting

Databricks

Snowflake

AWS

Communication

Tools

Datadog

Terraform

GitHub Actions

Databricks

Snowflake

Job description

Datavant is seeking a Senior Site Reliability Engineer to join the Data & ML Platform team. You will build and operate a resilient, scalable data platform that supports mission-critical workloads across the organization.

You will collaborate with Data Scientists, Analysts, and App Engineers to ensure secure, self-service production-grade systems. The role requires 6+ years in SRE/DevOps, strong cloud and observability skills, and hands-on Databricks/Snowflake experience.