Senior Data Architect

Job Summary

Eaton’s Corporate Sector division is modernizing the way we use information and data applications to accelerate our digital transformation. In this role, data architect (manufacturing/engineering), you will be responsible for working in partnership with Principal Data Architect, IT value stream groups and business partners to identify opportunities to enhance data delivery across enterprises.

Job Responsibilities

• Develop and maintain conceptual, logical and physical data models for assigned domains or several data assets.
• Regularly review and refine models to reflect evolving business needs and technology standards.
• Ensure semantic layers provide meaningful, consistent views for reporting and analytics.
• Collaborate closely with business domain owners and fellow architects to ensure that cross-domain data products are interoperable and meet shared standards.
• Architect models for sensitive data classification and access control.
• Lead metadata management, lineage, and cataloging.
• Advocate for standardized metrics and reusable data assets.
• Support modernization and adoption of emerging technologies.
• Mentor junior team members and provide technical oversight.
• Drive data modelling across Manufacturing and Engineering Strategic plan for enablement for Manufacturing/Engineering and ongoing oversight

Qualifications

• Basic Qualifications: Bachelor’s Degree from an accredited institution required. Minimum of 7 years of working within data delivery environment. Must have solid understanding of data models.
• Prior manufacturing experience.
• Demonstrated experience with cloud-based data lakes and warehouse technologies (Apache Iceberg, Snowflake).
• Intermediate programming ability in multiple data manipulation languages (Python, Scala, SQL, PL-SQL).
• Intermediate experience with DevSecOps and CI/CD principles and tools.
• Demonstrated experience with metadata management and data lineage tools.
• Skilled in supporting data integration (ETL/ELT) and data quality frameworks.
• Strong understanding of data security, access controls, and privacy principles.
• Proficient with cloud data platforms and data governance practices.
• Proficient in documenting and communicating technical solutions effectively.

Preferred Qualifications

• Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form).
• Intermediate programming ability in multiple data manipulation languages (Python, Scala, SQL, PL-SQL).
• Intermediate experience with DevSecOps and CI/CD principles and tools.
• Demonstrated experience with metadata management and data lineage tools.
• Skilled in supporting data integration (ETL/ELT) and data quality frameworks.
• Strong understanding of data security, access controls, and privacy principles.
• Proficient with cloud data platforms and data governance practices.
• Proficient in documenting and communicating technical solutions effectively.

Skills

• Experience establishing & maintaining relationships with individuals at senior levels.
• Experience leading team through recommending and implementing strategies to resolve problems.
• Experience identifying operational issues and proactively solutions to resolve problems.
• Experience reporting team progress and opportunities to upper management.
• Experience managing high-level technical delivery.
• Experience influencing leadership and key stakeholders on technology solutions.
• Experience applying knowledge of the new processes and concepts in IT management, structure and organization.

Benefits

We are committed to ensuring equal employment opportunities for all job applicants and employees. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview.