Senior SRE - Data & ML Platform

Datavant

Jackson (MS)

Hybrid

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 join the Data & ML Platform team. You will build and operate a resilient, scalable platform for data and ML workloads in a hybrid cloud environment.

You will own Databricks and Snowflake lifecycles, advance observability with Datadog, and drive CI/CD using GitHub Actions and Terraform. Collaboration across analytics, data science, and product teams is essential.

Qualifications

6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications.

Responsibilities

Operate and Improve Databricks and Snowflake platforms lifecycle—automation, workspace governance, job orchestration, and cost optimization.
Design for Reliability: Architect resilient, scalable, and secure infrastructure across cloud environments.
Advance Observability: Build and maintain platform-wide monitoring, alerting, and logging infrastructure using Datadog and other tooling; define SLOs/SLAs.
Drive CI/CD for Data & ML: Automate deployments of data pipelines, ML workflows, and infra components using GitHub Actions and Terraform.
Enable Data Flow Across Platforms: Build patterns and tooling to support inter- and intra-cloud data movement across Snowflake, S3, Delta Lake, and Kafka.
Champion Event-Driven Architectures: Leverage EventBridge, SNS/SQS, and Lambda to build scalable data systems.
Collaborate Across Teams: Serve 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.