Data Architect (US Citizenship Required)
About The Position
The Data Architect defines the enterprise data model, business data definitions, and reporting standards for Teledyne’s global analytics platform. The role works with business stakeholders, Data Engineering, and Analytics to create a standardized enterprise data model across multiple ERP systems and business units, enabling reporting, analytics, AI, and planning to use consistent definitions. The position is suited to someone who understands how business processes translate into data and has designed data structures across systems in a large, multi-business manufacturing company. The role designs and maintains enterprise data models; establishes business definitions, KPI calculations, business rules, and data standards; and leads efforts to consolidate data from multiple ERP, CRM, financial, and acquired-business systems. It partners with stakeholders to translate reporting needs into scalable data structures, prepares source-to-target mappings and transformation requirements for Data Engineering, reviews data structures and transformed datasets before validation and release, supports data governance and quality initiatives, and helps ensure analytics models and reports follow approved standards. U.S. citizenship is required.
Requirements
- 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.
- U.S. citizenship required.
Nice To Haves
- Bachelor’s degree in Information Systems, Business, Computer Science, Engineering, Finance, or a related field is preferred.
- Experience designing and implementing solutions using Microsoft Fabric, Power BI, or other modern cloud-based data and analytics platforms is preferred.
- DAMA CDMP certification is a plus.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
