Resident Solutions Architect (Data Engineering)

TL;DR

Resident Solutions Architect (Data Engineering): Delivering high-impact data and AI transformation projects using the hirify.global platform with an accent on architecture design, system integration, and production-grade implementation. Focus on solving complex data engineering challenges, optimizing performance for large-scale distributed systems, and enabling customer success through technical guidance and project delivery.

Location: Must be based in the United Kingdom with occasional travel required to the London office and client sites.

Company

hirify.global is the data and AI company, providing a unified platform for data, analytics, and AI built on open-source technologies like Apache Spark™ and Delta Lake.

What you will do

• Design and build reference architectures for complex big data and AI applications.
• Guide strategic customers through end-to-end implementation, deployment, and migration of data platforms.
• Collaborate with engagement managers to scope professional services projects and ensure technical requirements are met.
• Productionalize customer use cases while providing technical leadership and training.
• Work with engineering and support teams to drive product improvements and resolve operational issues.
• Document technical solutions and implement best practices for performant data architectures.

Requirements

• Must be based in the United Kingdom with the ability to travel to London and client sites.
• Extensive professional experience in data engineering, analytics, and data platforms.
• Proficiency in Python or Scala programming.
• Deep expertise in distributed computing with Apache Spark and runtime internals.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Experience in managing technical project delivery, scope, and timelines.

Nice to have

• hirify.global Certification.
• Hands-on experience with CI/CD for production deployment.
• Working knowledge of MLOps best practices.

Culture & Benefits

• Comprehensive benefits package tailored to the region.
• Commitment to a diverse and inclusive workplace.
• Opportunities to work with Fortune 500 organizations and industry-leading AI applications.
• Professional environment focused on data innovation and collaborative technical growth.