Senior Data Architect at Eaton USA

Raleigh, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

190000.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Governance, Metadata Management, Data Integration, Data Quality, Conceptual Data Models, Logical Data Models, Physical Data Models, Semantic Layers, Data Lineage, Data Cataloging, DevSecOps, CI/CD, Data Security, Cloud Data Platforms, Mentoring

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Eaton’s Corporate Sector division is currently seeking a Senior Data Architect. This position can be based out of any of the following locations on a hybrid work schedule: Beachwood OH, Galesburg MI, Houston TX, Menomonee Falls WI, Moon Township PA, or Raleigh NC. The expected annual salary range for this role is $130000 - $190000 a year. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. What you’ll do: Job Summary At Eaton we are 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 Principle Data Architect, IT value stream groups and business partners to identify opportunties to enhance data delivery across enterprise. As a data architect will be responsible to Lead the design, alignment, and maintenance of data models across manufacturing/Engineering domains, ensuring consistency with business requirements and technical standards. Apply expertise in data governance, metadata management, and data integration to support the creation of scalable and reusable data assets. Work with engineers and analysts to implement data quality measures and supports the adoption of best practices in data architecture. Own data models for manufacturing/engineering whilst supporting peer architects across several domains or a broader set of data assets. 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, Engineering Stratgeic plan for enablement for Manufacturing/Engineering and ongoing oversight Conceptual thinking to understand complex issues and their implications. Implementation of solutions focused on longer term view, consideration of multiple perspectives, and understanding of future impact. Handles varied but similar problems; requires fact-finding and troubleshooting. Adapts existing approaches and occasionally develops new solutions. 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 No relocation is provided for this position. Candidates must reside within a 50-mile radius of one of the following: Beachwood OH, Galesburg MI, Houston TX, Menomonee Falls WI, Moon Township PA, or Raleigh NC to be considered for this opportunity. Candidate must be authorized to work in the United States on a continuous basis without company sponsorship. Preferred Qualifications: Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form). 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. Technical knowledge Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form, normalized, denormaized ). 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. Skills: Soft skills -Experience establishing & maintaining relationships with individuals at senior levels -Ability to lead team through recommending and implementing strategies to resolve problems -Ability to identify operational issues and proactively solutions to resolve problems. -Experience reporting team progress and opportunties to upper management -Ability to drive datamodernization and enablement -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. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. 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. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

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Responsibilities

The Senior Data Architect will lead the design, alignment, and maintenance of data models across manufacturing and engineering domains, ensuring consistency with business requirements and technical standards. This role involves applying expertise in data governance, metadata management, and data integration to support scalable and reusable data asset creation while mentoring junior team members.