Senior Data Architect - Analytics Platforms

Eaton Corporation•Raleigh, NC

1d•Hybrid

About The Position

Leads the design, alignment, and maintenance of data models across assigned domains (Sales, Marketing, HR, and business sector domains), ensuring consistency with business requirements and technical standards. Applies growing expertise in data governance, metadata management, and data integration to support the creation of scalable and reusable data assets. Works with engineers and analysts to implement data quality measures and supports the adoption of best practices in data architecture. May own data models for several domains or a broader set of data assets.

Requirements

Bachelor’s Degree from an accredited institution required.
Minimum of 7 years of working in analytics and business intelligence
Must have solid understanding of data models
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, Raleigh NC or Southfield, MI to be considered for this opportunity.
Candidate must be authorized to work in the United States on a continuous basis without company sponsorship.

Nice To Haves

Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form).
Experience working in sales and marketing functions
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.
Experience building robust semantic models that can be consumed by AI.
Excellent communication skills, both written and verbal, are vital for this role.
The ability to communicate with staff at junior and mid-level managers is preferred.
Strong ability to build relationships across multiple business disciplines, provide general direction and recommendations, comfortable educating in front of large online audiences.
Problem-solving skills, analytical skills, strategic thinking, and change management skills are also essential.
Ability to work independently and collaboratively in a fast-paced environment.

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.
Support implementation of data governance policies. Help monitor adherence to governance policies and escalate issues as needed.
Contribute to the documentation and management of metadata for all data assets, ensuring that data definitions, sources, and transformations are clearly recorded.
Support the implementation of tools and processes for tracking data lineage, enabling transparency and traceability from source to consumption.
Collaborate with engineers and analysts on data integration and quality.