Director, Data Architect (Remote)

Arch Capital Group

Quick summary

Work type
On-site
Location
Hartford, CT
Salary
$153,000–$193,000 / yr
Posted
11 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $173k
$136k most similar roles pay here $234k

This role pays less than 55% of similar roles. Most pay $148,500–$224,375 — the shaded band above. At the midpoint, this role pays about $173k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Arch Capital Group

Arch Capital Group is a global insurance and reinsurance company providing specialty insurance solutions across property, casualty, mortgage, and reinsurance markets. Industry: Insurance & Reinsurance

Arch Capital Group currently has 11 open roles on FindRole.

Listed pay typically runs $135,000–$167,500 across 10 roles with salary data.

Most-posted roles

View all roles at Arch Capital Group

At a glance

TL;DR · Director, Data Architect (Remote)

The Director/AVP, Data Architect is a senior technical leader within the Actuarial Operations team at Arch’s Property & Casualty division, responsible for designing and evolving enterprise data platforms that support actuarial, analytical, and research use cases. This role involves leading the development of complex data pipelines using Apache Airflow or similar tools, ensuring consistent reporting through standardized datasets, and mentoring engineers to promote best practices in data modeling and automation with Python. The Architect will work closely with actuarial and analytics teams to deliver scalable solutions, manage project lifecycles, and integrate internal and external data sources on modern cloud platforms like Snowflake and Databricks. Ideal candidates have extensive experience in data engineering, leading technical teams, and a strong background in insurance or financial services.

What you'll do

  • Own and evolve enterprise data architecture for actuarial, analytical, and research use cases.
  • Design, build, and optimize complex data pipelines, databases, and models.
  • Lead development of data workflows using Apache Airflow or equivalent frameworks.
  • Define standardized datasets and business definitions to enable trusted reporting.
  • Mentor engineers, providing technical guidance and architectural direction.
  • Automate data ingestion and integrate internal and external data sources.

What we're looking for

  • 10+ years of data engineering or platform development experience.
  • Proven leadership and mentoring skills for engineering teams.
  • Expertise in data warehousing, dimensional modeling, and reporting design.
  • Hands-on proficiency with Python for data engineering tasks.
  • Experience delivering scalable, production-grade data solutions.
  • Familiarity with modern cloud platforms like Snowflake and Databricks.

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