Lead Data Modeler

Lingaro

. 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 .

Posted 10/13/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SAP business processes and data modeling, with a strong focus on Supply Chain, Order-to-Cash (OTC), and Finance. Proficient in leveraging Databricks for data integration, transformation, and governance while ensuring adherence to data quality and modeling standards.

Highest-signal resume keywords

SAP Data ModelingDatabricks ExperienceData Governance KnowledgeAnalytical Data ProcessingStakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSource-to-Target MappingCanonical Data ModelsSQLLakehouse ArchitectureData Quality AssessmentData ProfilingData CleansingData HarmonizationBusiness Process Understanding

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaboration

Tools & Technologies

DatabricksSAP

Industry Keywords

Supply ChainOrder-to-Cash (OTC)FinanceData GovernanceMetadataData LineageEnterprise Data StandardsBusiness RulesData ContractsData Models

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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