We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions.
Overview of the Role
You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead.
Your Day-to-Day – We do what others say can't be done
- Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions
- Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning
- Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases
- Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks
- Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies
- Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries
- Ensure data consistency and integrity across domains through well-governed master data modelling practices
- Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain
- Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets
- Act as the liaison between business domain owners and the data platform team
Your Profile – Ready to Join the Pack?
- Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design
- Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes
- Hands-on experience with dbt - model development, testing, documentation, and macros
- Advanced SQL skills with ability to profile, analyze, and validate data against business definitions
- Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently
- Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs
- Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams
Nice to Have
- Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)
- Exposure to Snowflake as the analytics warehouse platform
- Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms
- Experience in a manufacturing, semiconductor, or high-tech industry environment
- Familiarity with Agile delivery methodology
Skills Required
- Proven hands-on experience in data modelling (conceptual, logical, physical, dimensional and ER design).
- Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes.
- Hands-on experience with dbt (model development, testing, documentation, macros).
- Advanced SQL skills to profile, analyze, and validate data against business definitions.
- Experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders.
- Ability to define business metrics, validate data quality, and ensure model accuracy against KPIs.
- Excellent communication and interpersonal skills; comfortable working with senior architects and cross-functional teams.
- Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster).
- Exposure to Snowflake as the analytics warehouse platform.
- Knowledge of SAP MDG or equivalent MDM platforms.
- Experience in a manufacturing, semiconductor, or high-tech industry environment.
- Familiarity with Agile delivery methodology.
Cree Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cree and has not been reviewed or approved by Cree.
-
Fair & Transparent Compensation — Pay is often described as fair or decent in technician and operator roles. Compensation in some project management and security supervision roles is characterized as good.
-
Healthcare Strength — Benefits include medical, dental, and vision coverage with HSA, FSA, and HRA options, plus EAP support. Wellness resources are highlighted alongside core health plans.
-
Parental & Family Support — The package includes six weeks of paid parental leave and adoption assistance. Leave applies to new birth, adoption, and foster placement.
Cree Insights
What We Do
Cree | Wolfspeed is the global leader in silicon carbide technology and production, leading the worldwide transition from silicon to silicon carbide. Our product portfolio provides disruptive technology solutions that support a more efficient, sustainable future including electric vehicles, fast charging, 5G, power supplies, renewable energy and storage, as well as aerospace and defense. Our people are dedicated to driving a significant shift in the technology sector and creating a global semiconductor powerhouse. For additional product and Company information, visit www.cree.com.
.png){kind=logo}
