Head of CAP Data Engineering

Overview

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.

The role requires 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.

• 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.

• 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 modelling 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.

• 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 a hybrid work model, requiring in‑office presence at least three days per week, subject to change.

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. Individuals with disabilities are provided reasonable accommodation throughout the hiring process.

• Base salary range: $132,000 – $257,000.
• Generous annual bonus/commission and equity (long‑term incentive).
• Comprehensive health, dental, and vision coverage.
• 401(k) program with 6% employer match.
• Employee Stock Purchase Program with a 15% discount.
• Student loan repayment program up to $10,000.
• Company‑paid life and disability plans.
• Paid time off and paid flex days to support mental wellbeing.
• Health spending account with employer contribution.
• Gym membership discounts.
• Hybrid home/office schedule.
• Paid parental leave, fertility benefits, and paid bereavement leave.
• Company gift‑matching program and paid volunteer days.
• Education Assistance Program and robust professional development opportunities.
• Robust job skills training.