Engineering Manager — Data Platform
About the position
As an Engineering Manager for our Data Platform reporting to the Director of Software Engineering, you'll play a critical role in leading the team that transforms multi-modal content into trusted, governed data powering business decisions and AI capabilities across Nasdaq. You'll thrive in this position if you're collaborative, technically grounded, and passionate about building scalable data solutions that drive measurable impact in a fast-paced, high-performing environment.
Responsibilities
• Lead, coach, and develop a diverse team of engineers, establishing clear expectations, growth plans, and feedback rituals that foster ownership and psychological safety.
• Define and execute quarterly roadmaps in partnership with Product, translating strategy into measurable outcomes with predictable delivery and transparent stakeholder communication.
• 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 while driving operational excellence through monitoring, incident response, and cost optimization.
• Partner with Product, Security, and Data Governance teams to align on business outcomes and balance speed, reliability, and cost across platform capabilities.
Requirements
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 7+ years of software or data engineering experience with 3+ 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.
Nice-to-haves
• 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.
Benefits
• 401(k) program with 6% employer match
• Employee Stock Purchase Program with 15% discount
• Student loan repayment program up to $10k
• Company paid life and disability plans
• Generous paid time off
• Comprehensive medical, dental and vision coverage
• Health spending account with employer contribution
• Paid flex days to support mental wellbeing
• Gym membership discounts
• Hybrid home/office schedule (for most positions)
• Paid parental leave
• Fertility benefits
• Paid bereavement leave
• Company gift matching program
• Employee resource groups
• Paid volunteer days
• Education Assistance Program
• Robust job skills training and Professional development opportunities
Apply Now
Apply Now
As an Engineering Manager for our Data Platform reporting to the Director of Software Engineering, you'll play a critical role in leading the team that transforms multi-modal content into trusted, governed data powering business decisions and AI capabilities across Nasdaq. You'll thrive in this position if you're collaborative, technically grounded, and passionate about building scalable data solutions that drive measurable impact in a fast-paced, high-performing environment.
Responsibilities
• Lead, coach, and develop a diverse team of engineers, establishing clear expectations, growth plans, and feedback rituals that foster ownership and psychological safety.
• Define and execute quarterly roadmaps in partnership with Product, translating strategy into measurable outcomes with predictable delivery and transparent stakeholder communication.
• 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 while driving operational excellence through monitoring, incident response, and cost optimization.
• Partner with Product, Security, and Data Governance teams to align on business outcomes and balance speed, reliability, and cost across platform capabilities.
Requirements
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 7+ years of software or data engineering experience with 3+ 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.
Nice-to-haves
• 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.
Benefits
• 401(k) program with 6% employer match
• Employee Stock Purchase Program with 15% discount
• Student loan repayment program up to $10k
• Company paid life and disability plans
• Generous paid time off
• Comprehensive medical, dental and vision coverage
• Health spending account with employer contribution
• Paid flex days to support mental wellbeing
• Gym membership discounts
• Hybrid home/office schedule (for most positions)
• Paid parental leave
• Fertility benefits
• Paid bereavement leave
• Company gift matching program
• Employee resource groups
• Paid volunteer days
• Education Assistance Program
• Robust job skills training and Professional development opportunities
Apply Now
Apply Now