Head of CAP Data Engineering

• Posted 30+ days ago • Updated 1 hour ago
Full Time
On-site
USD $132,000.00 - 257,000.00 per year
Fitment

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Job Details

Skills

  • Usability
  • Management
  • Data Quality
  • Innovation
  • Accountability
  • Collaboration
  • Continuous Improvement
  • Scalability
  • Operational Excellence
  • Data Engineering
  • Software Engineering
  • Team Leadership
  • Python
  • Databricks
  • Data Processing
  • Data Modeling
  • Data Validation
  • Communication
  • Leadership
  • Team Management
  • Agile
  • Mentorship
  • Finance
  • Workflow
  • Data Governance
  • Regulatory Compliance
  • Cloud Computing
  • Data Architecture
  • Accessibility
  • Law
  • Apache Flex
  • Training
  • Professional Development

Summary

{"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 boncommission (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", "salary_raw": "Row(double=None, string='USD 132,000.00 - 257,000.00 per year')"}
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 23761551
  • Posted 30+ days ago
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