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Data Platform Infrastructure Engineer
2 weeks ago
We are establishing a new function within our organization focused on data platforms that support business processes across the enterprise. This team operates as part of a 24/7 distributed model, emphasizing proactive automation, observability, and techno-functional expertise.
This key role supports systems such as Snowflake, Power BI, Looker, and Azure-based data infrastructure. The ideal candidate will possess strong skills in SQL and Python, with experience in SRE, data engineering, or platform support roles.
- Maintain the reliability, uptime, and observability of enterprise data platforms.
- Design and manage monitoring tools like Datadog, Oracle Enterprise Manager, and OpsGenie.
- Implement incident response and escalation using shift-based on-call rotations.
- Collaborate with cross-functional teams to support data processes such as O2C and P2P.
- Support CI/CD practices using Azure DevOps with shift-left security (SonarQube, Rapid7).
- Automate recurring tasks and build documentation, dashboards, and remediation runbooks.
- Contribute to initiatives around centralized observability, predictive analytics, and playbook-driven incident triage.
Key qualifications include:
- 3–15 years of experience in SRE, data engineering, or platform support roles.
- Strong skills in SQL and Python; able to debug and maintain ELT pipelines.
- Ability to read and interpret code repositories (GitHub, Azure DevOps).
- Strong collaboration skills to engage across tools and business domains.
- Knowledge of Snowflake architecture and BI platforms like Power BI and Looker.
- Prior experience with on-call rotations, follow-the-sun teams, and alerting systems.