Data Modeler - Lead

1 day, 4 hours ago
Full-time
Mid Level
Data Science and Analytics
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008

Description

  • Translate SAP business requirements across Supply Chain, Order-to-Cash, or Finance into scalable data models.
  • Design, validate, and review conceptual, logical, and physical data models aligned with enterprise standards.
  • Review SAP source-to-target mappings, data structures, business rules, and data contracts.
  • Use Databricks services to support data integration, transformation, governance, reporting, and analytics.
  • Ensure compliance with data modeling, quality, metadata, lineage, and governance requirements.
  • Collaborate with product managers, data engineers, data stewards, SAP teams, and architects throughout delivery.
  • Participate in design reviews, architecture consultations, peer reviews, and CAB documentation.
  • Identify data inconsistencies and modeling gaps, recommend improvements, and advise engineering teams on best practices.

Requirements

  • 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 expertise in Supply Chain, Order-to-Cash, or Finance.
  • Understanding of SAP modules, business processes, master data, transactional data, and cross-functional relationships.
  • Strong knowledge of conceptual, logical, and physical data modeling, source-to-target mapping, and canonical data models.
  • Hands-on Databricks experience, including SQL, lakehouse architecture, and analytical data processing.
  • Understanding of data governance, quality, metadata, lineage, harmonization, and enterprise data standards.
  • Knowledge of BI, reporting, and analytics requirements.
  • Experience with data profiling, cleansing, harmonization, and quality assessment.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills.

Benefits

  • 100% remote, full-time position with flexible working hours.
  • Stable employment with an established company operating since 2008.
  • Comprehensive online onboarding with a dedicated buddy from day one.
  • Unlimited Udemy access, certificate training, and extensive upskilling programs.
  • Opportunities to work with experienced engineers and pursue internal career growth.
  • Well-being and health-support activities.
  • Diverse, inclusive, values-driven community with referral bonuses.

Interested in this position?

Apply directly on the company website

Apply Now

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