DevOps Platform Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $139.5k - $153.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Alteryx

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.

📋 Description

• Implement and maintain reusable engineering patterns, standards, templates, and guardrails for data product delivery across dbt, Snowflake, GitLab, and related platforms • Maintain code quality practices, including linting, formatting, naming conventions, merge request templates, and review expectations • Implement and improve CI/CD workflows, including automated testing, validation, deployment gates, promotion logic, and release readiness checks • Coordinate release and change management activities, including deployment planning, dependency tracking, rollback planning, release notes, and post-release validation • Operationalize observability and alerting standards for production pipelines, including job health, freshness, failure rates, data quality checks, and operational dashboards • Support production incidents through triage, root-cause analysis, stakeholder communication, corrective actions, and runbook improvements • Maintain environment management practices across development, test, and production, including configuration standards, promotion rules, and deployment consistency • Improve developer experience through documentation, self-service guidance, automation, and streamlined development, review, deployment, and support processes • Support centralized and federated teams in adopting reusable patterns, quality standards, and operational practices that support trusted data product delivery • Partner with technical data leads to enable centralized and federated data teams to deliver trusted production data products consistently and efficiently within the data mesh model

🎯 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 working experience with Snowflake, SQL development, dbt, GitLab or similar source control, and CI/CD workflows • Experience implementing or supporting automated testing, linting, validation, deployment checks, or code quality standards • Experience with release management, change management, deployment coordination, or production readiness practices • Familiarity with observability, alerting, monitoring, runbooks, and incident response for production systems or data pipelines • Ability to troubleshoot complex pipeline, environment, dependency, and data quality issues with minimal guidance • Strong communication, documentation, collaboration, and problem-solving skills • BA/BS degree in Information Science, Data Analytics, Computer Science, Software Engineering, a related technical field, or equivalent practical experience • Experience supporting federated data teams, data mesh operating models, or business-owned data product delivery • Python development or scripting experience for automation, operational tooling, or production support • Experience supporting productionized Data Science, machine learning, or code-based data products • Experience with orchestration platforms such as Airflow, Composer, or similar tools • Familiarity with AWS, GCP, data quality frameworks, lineage tools, data catalogs, observability platforms, or enterprise analytics platforms • Capacity to serve in compliance with U.S. export controls

🏖️ Benefits

• Bonus eligibility • Medical benefits • Retirement benefits • Financial benefits • Wellness benefits • Paid time off • Employee discounts • Reasonable accommodation during recruiting