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Head of CAP Data Engineering
full-timeAtlanta$132k - $257k

Summary

Location

Atlanta

Salary

$132k - $257k

Type

full-time

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About this role

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.

Key Responsibilities

  • 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.

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.

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 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:

  • 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 off
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.

Other facts

Tech stack
Data Engineering Strategy,Scalable Data Pipelines,Data Quality Standards,Observability,Monitoring,Stakeholder Influence,Team Leadership,Mentoring,Agile Delivery,Python,Databricks,Distributed Data Processing,Data Modeling,Data Transformation,Executive Presence,Production Data Solutions

About Nasdaq

At Nasdaq, our purpose is to advance economic progress for all. We power stronger economies, create more equitable opportunities, and contribute to a more sustainable world to help our communities, clients, employees, and people of all backgrounds reach their full potential.

Meet the #NasdaqFam and learn about our purpose, culture and careers here: https://www.nasdaq.com/about/careers

Team size: 1,001-5,000 employees
LinkedIn: Visit
Industry: Financial Services

What you'll do

  • The Head of Data Engineering will define and execute the strategy for creating application-ready datasets across the ecosystem, overseeing the design and implementation of scalable data pipelines to deliver high-quality data products. This role also involves establishing standards for data quality and monitoring, partnering with business leaders to translate requirements into robust data solutions.

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Frequently Asked Questions

What does Nasdaq pay for a Head of CAP Data Engineering?

Nasdaq offers a competitive compensation package for the Head of CAP Data Engineering role. The salary range is USD 132k - 257k per year. Apply through Clera to learn more about the full compensation details.

What does a Head of CAP Data Engineering do at Nasdaq?

As a Head of CAP Data Engineering at Nasdaq, you will: the Head of Data Engineering will define and execute the strategy for creating application-ready datasets across the ecosystem, overseeing the design and implementation of scalable data pipelines to deliver high-quality data products. This role also involves establishing standards for data quality and monitoring, partnering with business leaders to translate requirements into robust data solutions..

Why join Nasdaq as a Head of CAP Data Engineering?

Nasdaq is a leading Financial Services company. The Head of CAP Data Engineering role offers competitive compensation.

Is the Head of CAP Data Engineering position at Nasdaq remote?

The Head of CAP Data Engineering position at Nasdaq is based in Atlanta, Georgia, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Head of CAP Data Engineering position at Nasdaq?

You can apply for the Head of CAP Data Engineering position at Nasdaq directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Nasdaq on their website.