Principal Software Architect

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October 7

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Alteryx

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Analytics • Artificial Intelligence • B2B

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.

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Drive, review, and own the software architecture for our core platform • Collaborate closely with engineering leads, product owners, and infrastructure teams • Design, evolve, and enforce architectural standards and patterns • Lead cross-cutting initiatives; mentor other engineers • Define, evolve, and own the architectural vision and roadmaps • Perform architecture reviews, assess proposals from teams, and vet designs • Lead or contribute hands-on to critical subsystems • Provide thought leadership: prototype proofs-of-concept • Collaborate with infrastructure, operations, SRE, security, and DevOps • Help define and lead architecture governance • Diagnose and resolve technical debt or architectural “smells”

🎯 Requirements

• ~10+ years of software engineering experience • at least 3-5 years in senior architect or principal-level roles • Proven track record of designing and operating large-scale, distributed systems • Deep hands-on experience with orchestration, scheduler systems, job pipelines, or workflow engines • Strong proficiency in Java / JVM ecosystem, Python, Node.js, or equivalent high-level backend languages • Experience with message/event systems (e.g. Kafka or similar) • Familiarity with in-memory data stores and caching (e.g. Redis or equivalents) • Strong knowledge of containerization, Kubernetes, sidecar patterns, service meshes, proxies • Strong skills in API design, data modeling, integration patterns, error handling • Excellent communication skills • Familiarity with high-scale cloud deployments (e.g. AWS, Azure, GCP) is a plus

🏖️ Benefits

• medical • retirement • financial • wellness • time off • employee discounts