Define and execute the strategy for creating application-ready datasets that serve business needs across Nasdaq's ecosystem.
Oversee the design and implementation of scalable data pipelines using modern data platforms to deliver curated, high-quality datasets.
Establish standards for data quality, observability, and monitoring across all pipelines, implementing automated validation to ensure reliability and compliance.
Partner with product managers, business leaders, and technology teams to translate requirements into robust data solutions that enable innovation.
Lead, mentor, and develop a high-performing data engineering team, fostering a culture of accountability, collaboration, and continuous learning.
Drive continuous improvement in pipeline performance, scalability, and operational excellence through best practices and Agile delivery methodologies.
Required Qualifications
10+ years of experience in data engineering or software engineering, with proven success leading teams focused on production data solutions.
Strong technical proficiency in Python, Databricks, and distributed data processing frameworks, with solid understanding of data modeling and transformation.
Demonstrated expertise implementing observability, data validation, and monitoring solutions for production pipelines.
Proven ability to influence and align stakeholders across business and technology functions, with excellent communication and leadership skills.
Experience managing teams in Agile environments with a track record of building, mentoring, and retaining high-performing engineering talent.
Strong strategic judgment in balancing technical rigor, delivery timelines, and business objectives.
Requirements
Familiarity with financial data, index methodologies, or private markets workflows.
Knowledge of data governance, lineage, and compliance standards.
Experience with cloud-based data platforms and modern data architecture patterns.
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Benefits
We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.Nasdaq's programs and rewards are intended to allow our employees to:Secure Wealth: 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 offPrioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discountsCare for Family : Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leaveConnect with Community: Company gift matching program, Employee resource groups, Paid volunteer daysGrow Career: Education Assistance Program, Robust job skills training and Professional development opportunitiesFor more information, visit Nasdaq Benefits & Rewards Career page .Health insuranceDental insuranceVision insurance401(k)Equity / stock optionsPerformance bonusParental leave
Additional Information
As the Head of Data Engineering for Capital Access Platforms (CAP), you will be accountable for leading the development and delivery of production-quality datasets that power critical business initiatives across Private Markets, the Index Platform, and enterprise data products. You will define the vision for data engineering excellence and ensure that datasets meet the highest standards for accuracy, timeliness, and usability.
You'll thrive in this position if you bring executive presence, deep technical expertise in data engineering, and the ability to influence stakeholders across business and technology functions to deliver measurable impact at scale.
Nasdaq · US