Engineering Manager — Data Platform

Nasdaq•Atlanta, GA

2d•Hybrid

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.

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.

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.