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Data Architect, US Citizenship Required
Teledyne Technologies Incorporated. Design and maintain enterprise data models for reporting, analytics, AI, and planning .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and maintaining enterprise data models, standardizing data across multiple ERPs, and developing scalable data structures for reporting and analytics. Strong communication skills to collaborate with stakeholders and translate business requirements into technical solutions.
Highest-signal resume keywords
Enterprise Data ModelingERP Platforms (SAP, Infor XA, Dynamics AX, IFS)KPI DevelopmentData GovernanceMicrosoft Fabric
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MappingBusiness Rules DefinitionData Quality ManagementAnalytical Data StructuresSource-to-Target Mapping
Soft Skills
Strong Communication SkillsDocumentation Skills
Tools & Technologies
Power BICloud-Based Data Platforms
Certifications & Qualifications
DAMA CDMP Certification
Industry Keywords
Multinational ManufacturingAerospaceDefenseElectronicsERP Consolidation
Tech Stack
Tools & technologiesCloudERPOracle
About the role
Key responsibilities & impact- Design and maintain enterprise data models for reporting, analytics, AI, and planning
- Define and maintain standard business data definitions, KPI calculations, business rules, and data standards across multiple ERPs and business units
- Lead the design work to combine data from SAP, Infor XA, IFS, Dynamics AX, OneStream, CRM, and acquired business systems and ERPs into one consistent structure
- Partner with business stakeholders to understand reporting requirements and translate them into scalable data structures and business rules
- Develop source-to-target mapping specifications and transformation requirements for Data Engineering teams
- Define and document business rules required to standardize data across enterprise systems
- Review data structures, mappings, and transformed datasets prior to business validation and release
- Support data governance, data quality, master data management, and data stewardship initiatives
- Collaborate with Analytics teams to ensure semantic models and reports align with approved business definitions and standards
Requirements
What you’ll need- Bachelor's degree in Information systems, Business, Computer Science, Engineering, Finance, or a related field preferred
- 8+ years of experience
- Experience with ERP platforms such as SAP, Infor XA, Dynamics AX, IFS or Oracle
- Experience in multinational manufacturing, aerospace, defense, electronics, or high-tech companies, including work with acquired businesses or ERP consolidation
- Strong understanding of enterprise reporting, KPI development, and analytical data structures
- Experience developing enterprise data models, business rules, and source-to-target mappings, and standardizing data across multiple systems
- Strong communication and documentation skills, with experience working directly with business stakeholders and translating business requirements into technical solutions
- Experience designing and implementing solutions using Microsoft Fabric, Power BI, or other modern cloud-based data and analytics platforms preferred
- DAMA CDMP certification is a plus
- U.S. Citizenship required