DevOps Platform Engineer (Snowflake)

Location: US - Remote

Salary: $139,475–$153,900 per year, with potential additional compensation such as a bonus.

Company

hirify.global develops data, automation, and AI solutions that help organizations improve business decision-making and operational efficiency.

What you will do

• Implement reusable engineering patterns, standards, templates, and guardrails for data product delivery across dbt, Snowflake, GitLab, and related platforms.
• Improve code quality practices, CI/CD workflows, automated testing, validation, deployment gates, promotion logic, and release readiness checks.
• Coordinate release and change management, including deployment planning, dependency tracking, rollback planning, release notes, and post-release validation.
• Establish observability and alerting standards for production pipelines, covering job health, freshness, failure rates, data quality, and operational dashboards.
• Support production incidents through triage, root-cause analysis, stakeholder communication, corrective actions, and runbook improvements.
• Improve developer experience and help centralized and federated data teams adopt reliable, self-service delivery practices.

Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, DevOps, Platform Engineering, or a related technical discipline.
• Hands-on experience supporting production data pipelines, data products, or analytics engineering workloads in an enterprise environment.
• Strong experience with Snowflake, SQL development, dbt, GitLab or similar source control, and CI/CD workflows.
• Experience with automated testing, linting, validation, deployment checks, code quality standards, release management, and production readiness practices.
• Familiarity with observability, alerting, monitoring, runbooks, and incident response for production systems or data pipelines.
• BA/BS degree in Information Science, Data Analytics, Computer Science, Software Engineering, a related field, or equivalent practical experience.

Nice to have

• Experience with federated data teams, data mesh operating models, or business-owned data products.
• Python scripting for automation, operational tooling, or production support.
• Experience with productionized data science, machine learning, or code-based data products.
• Experience with Airflow, Composer, or similar orchestration platforms.
• Familiarity with AWS, GCP, data quality frameworks, lineage tools, data catalogs, observability platforms, or enterprise analytics platforms.

Culture & Benefits

• Remote-friendly full-time position for candidates in the United States.
• Benefits may include medical coverage, retirement, financial and wellness programs, paid time off, and employee discounts.
• Additional compensation, such as a bonus, may be available.
• Growth-mindset culture supporting associates throughout their careers.
• Commitment to diverse, equitable, and inclusive teams.