Professional Services Engineer

March 18

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Alteryx

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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.

Self-Service Data Analytics • Business Intelligence • Predictive Analytics • Spatial Analytics • Analytics

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Support and architect enterprise-scale solutions utilizing emerging platforms and technologies. • Design, guide and implement the optimal state for data and analytical architectures for customer scenarios, including Cloud and server sizing support, strategies for achieving high availability, resiliency, and disaster recovery. • Provide recommended best practices on architecture, deployment, and tech stack integration. • Works proactively with Technical Consultants, Analytics Consultants, and Resident Consultants to strategize on projects, cross- training and knowledge transfer. • Engage with Alteryx customers as a knowledgeable Consultant. • Advise customers with integration of Alteryx in their Cloud, On Prem or Hybrid ecosystems.

🎯 Requirements

• 4+ years of experience in a customer facing role, such as consulting or technical support. • Proficient in Cloud resources and platforms, such as AWS, Azure, Google and VMware. • Strong knowledge of Windows Server or Linux. • Knowledge of data & analytic technologies and software architecture. • Ability to have deep conversations with the customer Enterprise Architect to define solutions in their enterprise. • Experience with software and hardware installation and configuration. • Superior problem solving, organizational, decision-making written, oral, and interpersonal skills. • Exceptional ability to listen, assess and document information from client. • Troubleshooting techniques for parsing and dissecting log files. • Experience with traditional RDBMS databases, NoSQL databases, and Hadoop. • Experience with System Security, including Networking, LDAP and Active Directory. • Knowledgeable of machine learning techniques and environments, including industry leaders such as Python, R, and Spark. • Prior experience with procedural languages, including Unix scripting, Java, C++, Python. • Knowledge of statistical analysis, data structures, model training, scoring. • Knowledgeable of emerging technology architectures built on containers and microservices and orchestrated by Kubernetes and Virtualization, such as VMWare.