3h ago
Staff Data Scientist
Chicago, Illinois, United States
full-timeseniorfinancial technology
Tech Stack
Description
You will lead the platform data team to build a robust, scalable, and resilient data platform, collaborating with solution teams and product managers. You'll drive technical decisions, mentor engineers, and continuously improve operations, while being hands-on with code and participating in an on-call rotation.
Requirements
- Strong leadership acumen and engineering excellence mindset
- Deep data engineering experience in complex distributed systems
- Expertise in ETL, data movement with medallion architecture
- Proficient in Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS
- Experience with Izenda, SSRS, AWS Data Services is a plus
Responsibilities
- Lead Platform Data team to build scalable data platform
- Collaborate with solution teams and product managers on cloud-based data solutions
- Make decisions on solution design, architecture, and delivery
- Mentor and coach team members to grow their skills
- Participate in on-call rotation (you-build-it-you-run-it)
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