Engineering Manager (Data Platform)

TL;DR

Engineering Manager (Data Platform): Leading a team to transform multi-modal content into trusted, governed data powering business decisions and AI capabilities with an accent on API design, database performance, and scalability. Focus on defining technical direction for data pipelines, multi-agent workflows, and championing platform standards for observability and operational excellence.

Location: Hybrid in Atlanta, USA (at least 4 days a week in-office). US work authorization is required.

Company

hirify.global is a global technology and financial services company that operates stock exchanges and provides capital markets solutions.

What you will do

• Lead, coach, and develop a diverse team of engineers, fostering ownership and psychological safety.
• Define and execute quarterly roadmaps in partnership with Product, translating strategy into measurable outcomes.
• Set the technical direction for data pipelines and multi-agent workflows, including data ingestion, document understanding, entity resolution, and master data management.
• Champion platform standards for observability, lineage, metadata, and reusability.
• Drive operational excellence through monitoring, incident response, and cost optimization.
• Partner with Product, Security, and Data Governance teams to align on business outcomes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 7+ years of software or data engineering experience with 1+ years directly leading engineering teams.
• Proven track record delivering data platforms or large-scale systems in production with measurable reliability and cost outcomes.
• Strong technical proficiency in Python, SQL, distributed data processing, containerization, CI/CD pipelines, and cloud platforms.
• Excellent communicator with the ability to influence stakeholders and drive alignment across global, matrixed teams.
• Must have US work authorization.

Nice to have

• Experience building multi-agent systems or agentic workflows for production data automation.
• Expertise with modern data platforms, lakehouse architectures, and governance frameworks.
• Prior experience in hiring, interviewing, and building early-career engineering pipelines.

Culture & Benefits

• Hybrid home/office schedule, offering flexibility for most positions.
• Competitive rewards package including base salary, annual bonus/commissions, and equity.
• 401(k) program with 6% employer match and Employee Stock Purchase Program with 15% discount.
• Comprehensive medical, dental, and vision coverage, including a Health Spending Account.
• Generous paid time off, paid parental leave, and paid flex days to support mental well-being.
• Education Assistance Program, robust job skills training, and professional development opportunities.