Nasdaq

Head of CAP Data Engineering

Nasdaq$132K — $257K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data or software engineering with a background in team leadership for production data solutions.
  • Technical proficiency in Python, Databricks, and distributed data processing frameworks, along with a solid data modeling foundation.
  • Expertise in implementing data observability, validation, and monitoring for production pipelines.
  • Strong stakeholder influence and communication skills, with leadership experience.
  • Experience leading Agile teams and a track record of mentoring engineering talent.
  • Strategic judgment balancing technical and business priorities.

Responsibilities

  • Define and implement a strategy for application-ready datasets across Nasdaq's business needs.
  • Oversee scalable data pipeline design and implementation for high-quality dataset delivery.
  • Establish and enforce standards for data quality and monitoring across all data pipelines.
  • Collaborate with product managers and business leaders to transform requirements into data solutions.
  • Lead and nurture a high-performing data engineering team, promoting continuous learning and accountability.
  • Drive improvements in data pipeline performance and operational excellence using best practices.

Benefits

  • 401(k) program with 6% employer match and generous paid time off.
  • Comprehensive medical, dental, and vision coverage, including a health spending account.
  • Hybrid work schedule with paid parental and bereavement leave.
  • Education Assistance Program and robust professional development opportunities.
  • Company gift matching and paid volunteer days to engage with the community.
Full Job Description

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.

About Nasdaq

Nasdaq, Inc. is a global technology company that operates a suite of financial services businesses, including trading, clearing, exchange technology, regulatory, securities listing, and public company services. The company was founded in 1971 and is headquartered in New York, New York. Nasdaq operates in over 50 countries and has more than 4,700 employees worldwide. The company is committed to innovation and has been at the forefront of developing new technologies to improve the efficiency and transparency of financial markets.
Learn more about Nasdaq
Size
5,987 employees
Market Cap
$29.8 billion
Industry
Net Income
$933 million
Founded
1971
5 Year Trend
+9.7%
Revenue
$5.6 billion
NASDAQ

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