Data Architect — Remote/Hybrid, Modern Data Platforms

Society Insurance

Fond du Lac (WI)

Hybrid

USD 120,000 - 170,000

Full time

31 hours ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Health, dental, life, and vision ins.

Traditional or Roth 401(k) with profit

Company-paid holidays; flexible sched.

Education: courses; tuition assistance

Community: charitable match; volunteer

Wellness: EAP; wellbeing rewards

Job summary

Society Insurance invites an experienced Data Architect to lead enterprise data architecture initiatives within our Information Technology team. You will translate business and data strategy into scalable, governed data platforms and ensure trusted data across analytics, reporting, and operations.

You will define standards, build data lakes/warehouses, and guide modernization efforts while collaborating with stakeholders to deliver end-to-end data solutions in a hybrid/remote-capable environment.

Qualifications

Bachelor's degree in computer science, engineering, or related field.
8+ years of experience in data architecture, data engineering, or data platform design.
Strong experience designing and implementing data pipelines, data lakes, and data warehouses.
Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.)
Deep understanding of data modeling, ETL/ELT patterns, and data integration.
Experience implementing data architecture aligned to business and analytics needs.
Strong collaboration skills across business, architecture, and engineering teams.
SAFe Agile Delivery experience highly desirable.

Responsibilities

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 across systems and domains.
Designs and optimizes data ingestion, transformation, and integration patterns 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 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.