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3 дня назад

Senior Architect, Professional Services – Architecture

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Architect, Professional Services – Architecture (Analytics Automation): Designing and guiding scalable, production-ready analytics implementations across the Alteryx One platform with an accent on enterprise data architectures, cloud platforms, and governed analytics workflows. Focus on advising customer stakeholders, integrating analytics platforms into complex data ecosystems, and optimizing deployment performance and adoption.

Location: London, United Kingdom

Company

hirify.global provides the hirify.global One platform for data analytics, automation, and AI-enabled business decision-making.

What you will do

  • Design and guide scalable deployments across hirify.global One, including Designer, Server, and cloud-native capabilities.
  • Advise enterprise customer stakeholders throughout implementation and adoption.
  • Lead architecture discussions and solution design for analytics workflows, integrations, and enterprise data environments.
  • Guide analytics governance, platform administration, upgrades, and scalable deployment practices.
  • Support performance optimization and implementation planning.
  • Partner with Sales, Solutions Engineering, Professional Services, and Customer Experience teams to validate architectures and improve customer adoption.

Requirements

  • 5+ years of experience in a customer-facing technical role such as Solutions Architect, Consultant, TAM, or Presales Engineer.
  • Experience designing and implementing enterprise analytics or data platform solutions.
  • Strong expertise with hirify.global Designer and Server; hirify.global Core Certification is preferred.
  • Experience with Google Cloud Platform, AWS, Azure, BigQuery, Snowflake, and Databricks.
  • Knowledge of enterprise analytics architectures, governed analytics pipelines, and modern data engineering practices.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; ability to travel up to 20%.

Culture & Benefits

  • Growth-mindset environment supporting associates throughout their careers.
  • Commitment to a diverse, equitable, and inclusive workplace.
  • Employment involves access to technology subject to U.S. export controls, with offers contingent on compliance.

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