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.
Youll 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.
Key Responsibilities
• Define and execute the strategy for creating application-ready datasets that serve business needs across Nasdaqs 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.
Preferred Qualifications
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.
About the Role and Company
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.
Nasdaqs Commitment to Diversity and Inclusion
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
What We Offer
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.
The base pay range for this role is $132,000 - $257,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq's programs and rewards are intended to allow our employees to: