Hybrid Senior Data Architect - Enterprise Data Strategy

Great American Insurance Group; Ohio; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off and holidays

401(k) with company match

Employee stock purchase plan

Job summary

NIIC National Interstate Insurance Company is seeking a Senior Data Architect to design and govern enterprise data architecture in a hybrid role based at Richfield, OH, with in-office collaboration three days a week and potential for two remote days.

You will lead data modeling, governance, and integration efforts across analytics environments, ensure data quality and regulatory compliance, and mentor engineers while collaborating with business and technology stakeholders to enable data-driven

Qualifications

• Bachelor’s or Master’s degree in IT or CS.
• 14+ years of data architecture/management experience.
• Professional designation (CDMP or AWS Big Data) preferred.
• Experience with cloud data platforms (AWS/Azure/Google Cloud).

Responsibilities

• Defines and governs enterprise data architecture and models.
• Leads data integration design and governance for data pipelines.
• Establishes standards for data modeling, metadata, and governance.
• Collaborates with senior stakeholders to align data architecture with business goals.
• Mentors junior team members and provides thought leadership.

Skills

Data architecture

Data modeling

Database design

SQL

ETL

Data integration tools

Cloud data platforms (AWS/Azure/Google

Analytical skills

Communication skills

Leadership & mentoring

Education

Bachelor’s or Master’s degree in IT or CS

Tools

Informatica Cloud

Snowflake

ODS

ETO

Job description

NIIC National Interstate Insurance Company is seeking a Senior Data Architect to design and govern enterprise data architecture in a hybrid role based at Richfield, OH, with in-office collaboration three days a week and potential for two remote days.

You will lead data modeling, governance, and integration efforts across analytics environments, ensure data quality and regulatory compliance, and mentor engineers while collaborating with business and technology stakeholders to enable data-driven