Senior Specialist, Intelligence Platform Databricks Engineer

Nasdaq · Toronto

Other

Nasdaq is hiring a Senior Specialist, Intelligence Platform Databricks Engineer in Toronto, Ontario. Posted 10 October 2026. Apply directly on Nasdaq's own careers site — no account needed.

Job Description


As a Senior Specialist, Intelligence Platform Engineer reporting to the AVP of Enterprise Architecture, you'll play a critical role in administering, governing, and scaling Nasdaq's centralized Databricks Lakehouse environment — the CAP Intelligence Platform — which serves multiple business units across the Capital Access Platforms organization.


You'll thrive in this position if you're detail-oriented, technically strong, and energized by building platforms that bring data governance, compliance, and operational efficiency together at scale.


Key Responsibilities



Required Qualifications



Preferred Qualifications


This position 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 welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

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 $104,000 - $148,000. 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.

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