Lead Data Modeler

Job not on LinkedIn

🔥 41 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• 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

• 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

• 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