Nasdaq

Senior BI & Data Solutions Architect

Nasdaq

full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois, Massachusetts, New York • 🇺🇸 United States

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Salary

💰 $120,000 - $200,000 per year

Job Level

Senior

Tech Stack

ETLPythonSQLTableau

About the role

  • 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

Requirements

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architectureBI engineeringanalytics leadershipSQLPL/SQLPythonETLELTdata validationquality assurance
Soft skills
analytical skillscommunication skills