Lead Data Modeler

This is a fully remote position, open to applicants in India.

📋 Description

• Comprehend SAP business processes, data structures, and interrelations within Supply Chain, Order-to-Cash (OTC), or Finance, converting business needs into precise and scalable data models.

• Create, validate, and evaluate conceptual, logical, and physical data models.

• Ensure consistency with enterprise canonical models, business definitions, and architectural guidelines.

• Examine SAP source-to-target mappings, data structures, business rules, and data contracts.

• Collaborate with Databricks and its services as per project requirements.

• Utilize Databricks expertise to assist in data integration, transformation, governance, reporting, and analytics.

• Guarantee compliance with data modeling standards, data quality, metadata, lineage, and governance stipulations.

• Partner with Data Product Managers, Data Engineering Leads, Data Stewards, SAP functional teams, and Enterprise/Solution Architects.

• Engage in design reviews, peer assessments, architecture consultations, and CAB documentation.

• Detect data discrepancies and modeling deficiencies, propose enhancements, and advise engineering teams on optimal data design practices.

⛳️ Requirements

• Bachelor's or master's degree in Computer Science, Information Systems, or a related discipline, with 4–6 years of pertinent experience in data modeling, SAP data, or a comparable position.

• Profound SAP functional and business domain knowledge in at least one area: Supply Chain, Order-to-Cash (OTC), or Finance.

• Solid understanding of SAP modules, business processes, master and transactional data, and cross-functional data relationships.

• Extensive knowledge of conceptual, logical, and physical data modeling, source-to-target mapping, canonical data models, and data modeling best practices.

• Practical experience with Databricks, including its data platform capabilities, SQL, lakehouse architecture, and analytical data processing.

• Awareness of data governance, data quality, metadata, lineage, data harmonization, and enterprise data standards.

• Familiarity with BI, reporting, and analytics requirements and the ability to design models that facilitate downstream data utilization.

• Strong analytical, problem-solving, communication, and stakeholder collaboration skills.

• Capability to bridge business, SAP functional, and data engineering teams.

• Knowledge of data profiling, data cleansing, data harmonization, and data quality assessment techniques.

🏝️ Benefits

• Stable employment with a company established in 2008.

• 100% remote work.

• Flexible working hours.

• Full-time position.

• Comprehensive online onboarding program with a “Buddy” starting on day 1.

• Collaboration 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 more than 110 training opportunities each year.

• Opportunities for internal career advancement.

• A diverse, inclusive, and values-driven community.

• Autonomy to determine your work style.

• Referral bonuses.

• Activities promoting well-being and health.

• Opportunities to contribute to charities and support environmental initiatives.