Senior Data Engineering Manager

What You’ll Own:

• Large scale data pipelines built for the investor team supporting applications, feeds, and insight agents.
• Production datasets and analytical models used in research workflows, internal products, and customer-facing deliverables.
• Customer-facing data feeds with strong expectations around accuracy, timeliness, and reliability.

What You’ll Do:

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, and debugging.
• Partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities into scalable technical plans.
• Build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms.

What We’re Looking For:

• 8+ years of experience in data engineering, big data development, or related roles, with 2+ years in management.
• Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow.
• Experience building business-critical data systems and collaborating across product, research, and operations teams.