Resident Solutions Architect (Public Sector)

TL;DR

Resident Solutions Architect (Public Sector): Deliver big data and AI solutions using the hirify.global platform for public sector clients with an accent on data engineering, cloud integration, and customer project delivery. Focus on designing and deploying scalable data architectures, guiding transformational projects, and providing expert technical support.

Location: Remote - Must be a U.S. citizen and based in Massachusetts

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 use cases on the hirify.global platform.
• Collaborate with engagement managers to scope and deliver professional services projects.
• Guide customers through transformational big data and AI projects including migrations and deployments.
• Consult on architecture and design, ensuring successful adoption of hirify.global solutions.
• Provide escalated support for operational issues and collaborate with internal teams for resolution.
• Work closely with technical teams and project managers to meet customer needs.

Requirements

• U.S. Citizenship is required for this position.
• 6+ years experience in data engineering, data platforms, and analytics.
• Proficiency in Python or Scala programming.
• Expertise in at least one major cloud platform (AWS, Azure, or GCP) and working knowledge of others.
• Deep experience with Apache Spark and distributed computing.
• Familiarity with CI/CD, MLOps, and designing performant end-to-end data architectures.
• Ability to manage technical project delivery and client relationships.
• Willingness to travel up to 20% of the time.
• hirify.global certification preferred.

Culture & Benefits

• Comprehensive benefits tailored to employee needs.
• Commitment to diversity, equity, and inclusion in hiring and workplace culture.
• Opportunities to work with cutting-edge data and AI technologies.
• Supportive environment fostering professional growth and collaboration.