Hybrid Senior Data Architect - Enterprise Data Strategy Lead

Summit Consulting; Kentucky; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Wellness programs

Parental leave

Tuition reimbursement

401(k) with company match

Employee stock purchase plan

Commuter benefits

Job summary

NIIC National Interstate Insurance Company is seeking a Senior Data Architect to define and govern the enterprise data architecture, partnering with business and technology teams to ensure scalable data solutions. The role focuses on data modeling, governance, and integration across data warehouses and analytics environments, requiring extensive experience with cloud platforms and governance practices.

A hybrid work arrangement is supported in Northeast Ohio, with on-site collaboration typically

Qualifications

• Defines and leads the enterprise data architecture to support business objectives.
• Governs data integration, data quality, security, and regulatory compliance.
• Leads data modeling, metadata management, and data governance initiatives.
• Collaborates with stakeholders to align data strategy with enterprise priorities.

Responsibilities

• Define and govern the enterprise data architecture across conceptual, logical, and physical models.
• Lead design and governance of data integration and analytics environments.
• Establish standards for data modeling, metadata, and governance across the organization.
• Provide guidance on data architecture strategy and mentor junior staff.

Skills

Enterprise data architecture

Data modeling

SQL

ETL

Data governance

Stakeholder engagement

Mentoring

Cloud platforms (AWS/Azure/Google)

Education

Bachelor's degree in IT/CS

Master's degree preferred

Tools

Informatica Cloud

Snowflake

Job description

NIIC National Interstate Insurance Company is seeking a Senior Data Architect to define and govern the enterprise data architecture, partnering with business and technology teams to ensure scalable data solutions. The role focuses on data modeling, governance, and integration across data warehouses and analytics environments, requiring extensive experience with cloud platforms and governance practices.

A hybrid work arrangement is supported in Northeast Ohio, with on-site collaboration typically