Logo for Lingaro

Data Modeler - Lead

Role overview

Qualifications

  • Bachelor's or master's degree in Computer Science, Information Systems, or a related field
  • 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
  • Hands-on experience with Databricks

Responsibilities

  • Understand SAP business processes, data structures, and relationships across Supply Chain, Order-to-Cash (OTC), or Finance
  • Design, validate, and review conceptual, logical, and physical data models
  • Review SAP source-to-target mappings, data structures, business rules, and data contracts
  • Collaborate with Data Product Managers, Data Engineering Leads, and other teams throughout design, build, and deployment

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Problem Reporting
  • Communication
  • Problem Solving

About the company

Lingaro logo

Lingaro

Data Analytics & Business Intelligence

Lingaro Group is the end-to-end data services partner to global brands and enterprises. Our industry-recognized capabilities and expertise: • Supply chain analytics • Commercial analytics • Digital commerce • Sustainability analytics • ALCHEMY. creative agency • Data strategy consulting • AI and machine learning • Data platforms • Data visualization • Data governance We are award-winning and globally recognized. - Lingaro is recognized as a ‘Strong Performer’ in the 2022 Gartner® Peer Insights™ “Voice of the Customer” report in data and analytics. - We earned the Great Place to Work® certification in Lingaro Poland in 2023 and in Lingaro Philippines in 2022 and 2023, reflecting our people's trust in our core values. - Lingaro Group has been recognized as a Star Performer in Everest Group’s 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment and a “Major Contender” by the Everest Group on its 2022 Analytics and AI Services Specialists PEAK Matrix® Assessment. - Lingaro Philippines won the Asian Technology Excellence Award for a pioneering sales intelligence solution that helped a manufacturing company make faster and smarter business decisions, automate many of its business processes, and improve its sales and marketing performance. - Lingaro was named Microsoft Poland’s Azure Partner of the Year in 2018 for our outstanding innovations and technology solutions.

Company details

Company typeLarge
IndustryData Analytics & Business Intelligence
Company size1001 - 5000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Data Modeler

Lead Consultant

India, remote

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
​​​​​​​

About Data Management Competency: Focused on Data Governance and Quality Management, establishing and enforcing policies, processes, and practices to ensure the integrity, availability, and reliability of data across the organization.


What You'll Be Doing:
  • 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, ensuring alignment with enterprise canonical models, business definitions, and architectural standards.
  • Review SAP source-to-target mappings, data structures, business rules, and data contracts to ensure functional accuracy and technical soundness.
  • Working with Databricks and their services as per project needs.
  • Leverage Databricks platform knowledge to ensure data models support effective 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 throughout design, build, and deployment.
  • Participate in design reviews, peer reviews, architecture consultations, and CAB documentation to ensure design approval and release readiness.
  • Identify data inconsistencies and modeling gaps, recommend improvements, and provide guidance to engineering teams on data design best practices.

What We're Looking For:
  • 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, with a good understanding of 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 the ability to design models that support downstream data consumption.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills, with the ability to bridge business, SAP functional, and data engineering teams.
  • Strong analytical and problem-solving abilities to identify data-related issues, propose solutions, and make data-driven decisions.
  • Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques.

We Offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
  • 100% remote.
  • Flexibility regarding 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. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Related jobs

Other jobs at Lingaro

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.