Sobre esta vaga de Senior Site Reliability Engineer na Datavant
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.
What We’re Looking For
We’re looking for a Senior Site Reliability Engineer to join our Data & ML Platform team. You’ll be at the forefront of building and operating a resilient, observable, and scalable platform that enables mission-critical data and ML workloads across our organization.
This role is ideal for someone who combines a strong SRE mindset with deep cloud infrastructure and data platform experience. You're comfortable operating at scale in a complex, hybrid cloud environment and can architect systems that balance velocity, safety, and cost. You’ll work closely with Data & ML Engineers, Data Scientists, Analysts, and App Engineering teams to build a modern data platform that is secure, self-service, and production-grade.
What You Will Do
- Operate and Improve Databricks and Snowflake: Own Databricks & 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 initiatives around failover, autoscaling, chaos testing, and capacity planning.
- Advance Observability: Build and maintain platform-wide monitoring, alerting, and logging infrastructure using Datadog and other open tooling. Define and enforce SLOs/SLAs for critical services.
- 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 to support inter- and intra-cloud data movement across systems like Snowflake, S3, Delta Lake, and Kafka.
- Champion Event-Driven Architectures: Leverage cloud-native tools like EventBridge, SNS/SQS, and Lambda to build loosely coupled, scalable data systems.
- Collaborate Across Teams: Serve as the SRE and platform partner for teams across the organization, ensuring the platform meets the needs of analytics, data science, and product use cases.
- Contribute to Strategy: Influence engineering-wide decisions on data platform architecture, ML enablement, and data product strategy.
What You Need to Succeed
- 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 (especially 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.
What Helps You Stand Out
- DevSecOps mindset: Familiarity with implementing security best practices in IaC, CI/CD, secret management, and audit logging.
- Experience with ML infrastructure tooling such as MLflow, Feature Stores, and GPU workload orchestration.
- Strong experience in both Databricks and Snowflake in a large scale production lakehouse with cross-warehouse interoperability, e.g. Iceberg v3, Glue, etc.
- Background in compliance-aware architecture (e.g., HIPAA, SOC 2) or regulated industries.
- Familiarity with multi-cloud or hybrid cloud data environments; experience with Azure.
- Contributions to open-source infrastructure, SRE, or observability tools.
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
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