Data Architect Job Fond du Lac Wisconsin USA,IT/Tech

Job Information

Job Title

D ata Architect

Home Department:

I nformation Technology

Employment Status:

Exempt;
Full-time

Schedule:

Flexible Scheduling Opportunities

Position Location:

Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI)

This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more.

Overview

Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society.

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases.

The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities.

About the Role

Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.

Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.

Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.

Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.

Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.

Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.

Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.

Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.

Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles.

Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).

Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.

Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.

Ensures alignment between data, application, and infrastructure architecture.

Participates in Agile/PI Planning to align teams to a shared technical direction and standards.

Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.

About Yo u

You are analytical and connect data across systems to support business insight and decision-making.

You are creative and innovative and identifies better ways to organize, integrate, and govern data.

You are driven by an underlying curiosity and desire to know more about things, people, or issues.

You take ownership of challenges and drive improvements in architecture, standards, and processes.

You quickly apply new knowledge, tools, and ideas to solve business and data challenges.

You enjoy managing the efficiency, accuracy, and integrity of the work that you produce.

You effectively prioritize work, manage multiple responsibilities, and meet deadlines.

What it Will Take

Bachelor's degree in computer science, engineering, or related field.

8+ years of experience in data architecture, data…