Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.​

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Job Summary:

The Data Architect defines the enterprise data model, business data definitions, and reporting standards for Teledyne's global analytics platform. You will work with business stakeholders, Data Engineering, and Analytics to develop a standardized enterprise data model across multiple ERP systems and business units, so reporting, analytics, AI, and planning all use the same definitions.

The right person understands how business processes turn into data and has designed data structures across multiple systems in a large, multi-business manufacturing company.

Job Duties & 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.

Job Qualifications:

• Bachelor's degree in Information systems, Business, Computer Science, Engineering, Finance, or a related field preferred.

• 8+ years

• 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.

Salary Range:

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws. ​