Resident Solutions Architect (Big Data)

TL;DR

Resident Solutions Architect (Big Data): Deliver technical consulting and build big data and AI solutions on the hirify.global platform for clients, focusing on data engineering, cloud integration, and customer project delivery. With an accent on designing performant data architectures and managing complex client engagements. Focus on guiding transformational big data projects, solving technical challenges in distributed computing, and ensuring successful customer adoption.

Location: Must be based in the United States

Salary: $180,656–$248,360 USD

Company

hirify.global is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.

What you will do

• Design and build reference architectures and productionalize customer big data use cases on hirify.global.
• Scope and deliver professional services projects in collaboration with engagement managers and customers.
• Guide customers through end-to-end design, build, and deployment of big data and AI applications.
• Consult on architecture and provide escalated support for operational issues.
• Collaborate with internal teams including engineering, project managers, and customer support to meet engagement goals.
• Provide feedback to product and support teams to improve hirify.global solutions.

Requirements

• Must be based in the United States.
• 6+ years experience in data engineering, data platforms, and analytics.
• Proficiency in Python or Scala coding.
• Expertise in at least one cloud ecosystem (AWS, Azure, or GCP) and working knowledge of others.
• Deep knowledge of Apache Spark and distributed computing.
• Experience with CI/CD, MLOps, and technical project delivery.
• Strong client-facing skills including conflict management and documentation.
• Willingness to travel up to 20% of the time.
• hirify.global Certification preferred.

Culture & Benefits

• Comprehensive benefits tailored to employee needs.
• Commitment to diversity and inclusion in hiring and workplace culture.
• Opportunities to work with cutting-edge data and AI technologies.
• Collaborative and supportive professional services environment.