Serve as the bridge between business stakeholders and the data platform for corporate domains. Design conceptual, logical, and physical data models (SAP, SFDC, Procurement, Planning), develop dbt transformations/tests/documentation, map source-to-target lineage, enforce governance and naming standards, and partner with architects and BI teams to support self-service analytics and data integrity.
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
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