Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and optimizing a microservices-driven enterprise data platform to support advanced AI use cases with an accent on platform architecture, SDK development, and data observability. Focus on designing scalable data storage, implementing robust data quality frameworks, and collaborating with cross-functional teams to enable high-performance machine learning workflows.

Location: Must be based in Atlanta, GA, United States

Salary: $133,125–$204,125

Company

hirify.global is a global leader in intelligent automation and supply chain solutions, currently revolutionizing its data landscape to power next-generation AI capabilities.

What you will do

• Architect and develop key data platform components, including SDKs, libraries, and modern connector frameworks.
• Design and optimize large-scale data storage, processing, and querying performance for both on-prem and cloud environments.
• Implement data quality, observability, and governance frameworks to ensure platform reliability and data accuracy.
• Collaborate with data scientists and cross-functional teams to define data models, schemas, and storage solutions.
• Drive deployment and release cycles, ensuring a robust, scalable, and resilient platform architecture.
• Partner with AI enablement and IT infrastructure teams to align data capabilities with organizational standards.

Requirements

• 5+ years of experience in modern cloud data engineering and software engineering.
• Strong hands-on experience with GCP and Azure, including Databricks, Delta Lake, and Spark.
• Deep expertise in microservices architecture, including Kubernetes and Docker.
• Proven ability to build end-to-end data platforms supporting AI and machine learning use cases.
• Solid understanding of DataOps, CI/CD, test automation, and metadata management.
• Must be authorized to work in the United States.

Culture & Benefits

• Competitive compensation and benefits package.
• Opportunities for career development within a global organization.
• Commitment to pay transparency and equal employment opportunity.
• Collaborative environment focused on cutting-edge AI and data engineering innovation.