Data Platform Solutions Architect (AI)

TL;DR

Data Platform Solutions Architect (AI): Working with clients on big data challenges using the hirify.global platform, providing data engineering, data science, and cloud technology projects with an accent on integrating with client systems, training, and technical tasks for maximizing data value. Focus on designing and building reference architectures, productionalizing customer use cases, guiding strategic customers in implementing big data and AI applications, and consulting on architecture and design for successful hirify.global adoption.

Location: Hybrid – London, United Kingdom. Travel to customers 10% of the time.

Company

hirify.global is a data and AI company, providing a Data Intelligence Platform used by over 10,000 organizations worldwide, including over 50% of the Fortune 500.

What you will do

• Work on impactful customer technical projects, including designing reference architectures and productionalizing use cases.
• Collaborate with engagement managers to scope professional services work with customer input.
• Guide strategic customers in implementing transformational big data and AI applications, including design, build, and deployment.
• Consult on architecture and design, and implement customer projects to ensure successful hirify.global adoption.
• Provide escalated support for customer operational issues.
• Work with internal and customer teams to ensure technical components of engagements meet needs.

Requirements

• Extensive experience in data engineering, data platforms, and analytics.
• Comfortable writing code in either Python or Scala.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing using Apache Spark™ and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps.

Nice to have

• hirify.global Certification.

Culture & Benefits

• Comprehensive benefits and perks are provided to meet employee needs.
• Commitment to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.