Lead Data Modeler

• Understand SAP business processes, data structures, and relationships across Supply Chain, Order-to-Cash (OTC), or Finance, translating business requirements into accurate and scalable data models
• Design, validate, and review conceptual, logical, and physical data models
• Ensure alignment with enterprise canonical models, business definitions, and architectural standards
• Review SAP source-to-target mappings, data structures, business rules, and data contracts
• Work with Databricks and its services according to project needs
• Leverage Databricks knowledge to support data integration, transformation, governance, reporting, and analytics
• Ensure adherence to data modeling standards, data quality, metadata, lineage, and governance requirements
• Collaborate with Data Product Managers, Data Engineering Leads, Data Stewards, SAP functional teams, and Enterprise/Solution Architects
• Participate in design reviews, peer reviews, architecture consultations, and CAB documentation
• Identify data inconsistencies and modeling gaps, recommend improvements, and guide engineering teams on data design best practices

• Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with 4–6 years of relevant experience in data modeling, SAP data, or a similar role
• Strong SAP functional and business domain expertise in at least one area: Supply Chain, Order-to-Cash (OTC), or Finance
• Good understanding of SAP modules, business processes, master and transactional data, and cross-functional data relationships
• Strong knowledge of conceptual, logical, and physical data modeling, source-to-target mapping, canonical data models, and data modeling best practices
• Hands-on experience with Databricks, including its data platform capabilities, SQL, lakehouse architecture, and analytical data processing
• Understanding of data governance, data quality, metadata, lineage, data harmonization, and enterprise data standards
• Knowledge of BI, reporting, and analytics requirements and ability to design models supporting downstream data consumption
• Strong analytical, problem-solving, communication, and stakeholder collaboration skills
• Ability to bridge business, SAP functional, and data engineering teams
• Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques

• Stable employment with a company established in 2008
• 100% remote work
• Flexible working hours
• Full-time position
• Comprehensive online onboarding program with a “Buddy” from day 1
• Cooperation with top-tier engineers and experts
• Unlimited access to the Udemy learning platform from day 1
• Certificate training programs
• Upskilling support, capability development programs, Competency Centers, knowledge-sharing sessions, community webinars, and 110+ training opportunities yearly
• Opportunities for internal career growth
• Diverse, inclusive, and values-driven community
• Autonomy to choose the way you work
• Referral bonuses
• Activities supporting well-being and health
• Opportunities to donate to charities and support the environment