We are seeking a highly experienced and visionary Senior BI & Data Solutions Architect to join our strategic team within the Nasdaq FinTech business unit. This pivotal role will drive the design and implementation of scalable analytics infrastructure, integrate AI and BI capabilities, and empower business users with robust self-service analytics solutions. As a key contributor to our Revenue Intelligence team, you will optimize and scale reporting architecture, leverage internal data lakes, and establish new data integrations. You will also design, build, and visualize data through dashboards and reports to deliver actionable insights to senior leadership.
The ideal candidate will have deep expertise in data architecture and BI engineering, significant hands-on experience with modern ETL/ELT and stream processing tools, and advanced proficiency in scripting languages such as SQL and Python. Familiarity with Salesforce, BI tools, automation tools, and large language models (LLMs) is essential. A strong curiosity and the ability to extract insights from complex or noisy data is critical, as is demonstrated experience leveraging machine learning, AI, and intelligent agents to deliver value at scale.
Responsibilities
- Architect scalable data pipelines and models to support FinTech analytics needs.
- Unify data and AI across platforms including Salesforce, Databricks, and BI tools.
- Empower analytics team with intuitive data structures and provide training for self-service analytics.
- Represent FinTech priorities with technical governance and present data strategy to senior leadership.
- Ensure data validation, quality, and compliance across all analytics solutions.
- Collaborate with cross-functional teams in a large, matrixed organization using agile frameworks
Qualifications
- 12+ years of experience in data architecture, BI engineering, or analytics leadership.
- Strong proficiency in SQL and scripting languages such as PL/SQL and Python.
- Hands-on experience with modern ETL/ELT and stream processing tools.
- Deep familiarity with Salesforce Analytics, Tableau, and Power BI.
- Experience with Databricks Lakehouse and Lakehouse Federation architecture.
- Strong analytical skills focused on data validation and quality assurance.
- Excellent communication skills for both technical and non-technical audiences.
- Experience in financial markets is a plus.
- Understanding of machine learning and AI models for forecasting, insights, and automation.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
This position can be located in New York, Boston or Chicago 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 $120,000 - $200,000. 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.