Senior Data Architect for Enterprise Analytics Platform

The J.M. Smucker Co.; Orrville (OH); Hybrid; USD 130,000 - 180,000; Full time

Job summary

The J.M. Smucker Co. is seeking a Data Architect for the Enterprise Data Platform to design and maintain scalable dimensional data models that power analytics and reporting.

You will enforce semantic consistency and governance while enabling trusted insights across tools like Tableau. In this role you will collaborate with data engineers, analytics teams, and business stakeholders to ensure alignment of source, engineered, and published data layers, supporting enterprise analytics standards.

Qualifications

• Bachelor's degree or equivalent in IT or related field.
• 8+ years in data modeling/architecture or senior data engineering.
• Strong SQL and large dataset experience.
• Ability to translate business needs into data models and governance.
• Experience with modern cloud data platforms and data catalogs.

Responsibilities

• Design, develop, and maintain enterprise dimensional data models.
• Ensure data models align with governance and semantic standards.
• Collaborate with data engineers and analytics teams to implement models and pipelines.
• Assist architecture reviews and provide guidance on analytics architecture.
• Support data governance, metadata, and lineage initiatives.

Skills

Advanced SQL

Cross-functional collaboration

Critical thinking

Communication skills

Data modeling

Semantic design

Education

Bachelor’s degree in Information Technology or related field

Tools

Databricks

ER/Studio

Erwin

Atlan (data catalog)

Git

Azure DevOps

Job description

The J.M. Smucker Co. is seeking a Data Architect for the Enterprise Data Platform to design and maintain scalable dimensional data models that power analytics and reporting.

You will enforce semantic consistency and governance while enabling trusted insights across tools like Tableau. In this role you will collaborate with data engineers, analytics teams, and business stakeholders to ensure alignment of source, engineered, and published data layers, supporting enterprise analytics standards.