Data Engineering Manager, AI-Driven Analytics

Arch Capital Group Ltd.; City of White Plains (NY); On-site; USD 100,500 - 174,000; Full time

Benefits offered by this job

Comprehensive medical plans

401k with generous matching

20 days PTO plus paid holidays

Job summary

Arch Capital Group Ltd. is seeking a Manager of Strategic Analytics Services in White Plains, New York. In this role, you will lead the delivery of complex data pipelines to integrate analytics into business processes, ensuring a hands-on approach and technical leadership.

The ideal candidate will have over six years of experience in Python and distributed processing, preferably with a focus on Databricks. The position offers a comprehensive benefits package, including medical plans, PTO, and competitive incentives.

Qualifications

• 6+ years’ experience of hands-on development in Python and distributed processing environments.
• 2–3+ years of technical leadership or project delivery ownership experience.
• Hands-on Databricks experience highly preferred.

Responsibilities

• Lead delivery of high-quality data solutions by partnering with stakeholders.
• Own end-to-end data engineering delivery across the project lifecycle.
• Build strong partnerships across the organization to align priorities.

Skills

Python

SQL

Apache Spark

Cloud data platforms (Snowflake, Databricks)

Data warehousing fundamentals

Education

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, or Data Analytics

Tools

Databricks

Azure

Job description

Arch Capital Group Ltd. is seeking a Manager of Strategic Analytics Services in White Plains, New York. In this role, you will lead the delivery of complex data pipelines to integrate analytics into business processes, ensuring a hands-on approach and technical leadership.

The ideal candidate will have over six years of experience in Python and distributed processing, preferably with a focus on Databricks. The position offers a comprehensive benefits package, including medical plans, PTO, and competitive incentives.