> Markdown version of [/jobs/ext/3964532-data-observability-engineer](https://www.wearedevelopers.com/jobs/ext/3964532-data-observability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Observability Engineer

- **Company:** OpenKyber LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Engineering, Configuration Management Databases, Configuration Management, Continuous Integration, Data Infrastructure, Data Stores, Disaster Recovery, Infrastructure as a Service (IaaS), Identity and Access Management, Python (Programming Language), Linux System Administration, Power BI, Cloud Services, Ansible, DataOps, SQL Databases, Scripting, Google Cloud, Cloud Platform System, Grafana, Gitlab, AI Platforms, Infrastructure Automation Frameworks, Bitbucket, Tools for Reporting, Terraform, Splunk, Stream Analytics, Looker Analytics, Data Pipelines, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/jobad/usd6563cce906fb8f770fdc8664d6a2d46

## About the Role

* Minimum of three years' experience in cloud data platform operations or support roles.
 * Proficiency in SQL and basic scripting languages (e.g., Python or Bash) to automate operational tasks.
 * Familiarity with CI/CD tools like GitLab, Bitbucket, Jenkins, and infrastructure automation tools such as Terraform or Ansible.
 * Experience with Linux system administration and batch scheduling tools.
 * Basic experience with cloud infrastructure management (AWS IaaS preferred; Azure or Google Cloud Platform acceptable).
 * Understanding of IT service management processes and tools, including incident and change management.
 * Strong troubleshooting and problem-solving skills with a keen eye for detail.
 * Excellent communication skills and the ability to collaborate effectively across teams.

Preferred Qualifications:

 * Experience integrating cloud data platforms with analytics tools such as Power BI, Looker, or Quicksight.
 * Exposure to container services and stream analytics related to data pipelines.
 * Familiarity with AI services within cloud data platforms.
 * Experience working with configuration management and asset management tools like CMDB systems.

## Description

Position Summary We are seeking a proactive and detail-oriented Data Platform Operations Engineer to join our cloud data support team. In this role, you will be responsible for ensuring the operational readiness, performance, and availability of our cloud-based data platform. Your focus will be on providing first-line support for platform applications, participating in disaster recovery and operational exercises, and collaborating across teams to uphold the platform's stability and compliance with business standards. This position plays a vital role in supporting the smooth processing of billions of transactions weekly, maintaining the organization's position as a key player in the global financial ecosystem. Key Responsibilities:

 * Provide first-level support for platform applications, including incident triage, resolution, and escalation.
 * Monitor platform health and performance using observability tools such as Splunk, Grafana, or similar platforms.
 * Participate in disaster recovery and operational rotation exercises to verify platform readiness and validate business continuity plans.
 * Develop, update, and execute operational runbooks for support scenarios and application recovery in a remote cloud environment.
 * Collaborate with engineering teams to implement system updates and gather diagnostic information for advanced troubleshooting.
 * Manage object lifecycle processes, including creation, modification, and retirement of data repositories, schemas, and roles.
 * Oversee IAM services, including user and role management, supporting integration with enterprise IAM solutions and executing secrets management policies.
 * Contribute to the development of training resources, job aids, and documentation for operational support staff.
 * Utilize IT service management tools to handle incidents, problems, changes, and service requests.
 * Work with account teams to identify, report, and resolve platform issues.