ITC Infotech is looking for a Senior Data Modeler to join our team in Stuttgart, Germany
Your X-Factor
Work ethic - You are a consummate professional.
Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
Impact - You are a critical thinker with an emphasis on creativity and innovation.
Passion - You have the drive to succeed paired with a continuous hunger to learn.
Leadership - You are trusted, empathetic, accountable, and empower others around you.
Job Summary
The Senior Data Modeler is accountable for defining and governing enterprise‑grade data models that translate complex business concepts into scalable, consistent, and reusable data structures. The role operates at a strategic and hands‑on level, shaping how data is understood, shared, and implemented across systems, analytics, and integrations.
Build models that support cloud-native data platforms and distributed data patterns (e.g., lakehouse concepts, Microsoft Fabric/Synapse) and ensure interoperability across the modern data ecosystem
This role goes beyond model creation: it sets modelling direction, mentors data analysts, and ensures data structures enable business outcomes such as transformation, analytics, and process harmonization. The position aligns with industry‑standard data management and modelling principles (conceptual, logical, physical modelling as a business–IT bridge).
Key Responsibilities:
1. Enterprise Data Modelling Leadership
* Own and evolve conceptual, logical, and physical data models for complex domains and cross‑functional initiatives.
* Design models that support current and future‑state architectures (As‑Is / To‑Be) across applications, platforms, and analytics.
* Ensure models are reusable, scalable, and aligned with enterprise data architecture principles.
* Define and maintain semantic layers (business-friendly measures, definitions, hierarchies, conformed dimensions) to ensure consistent KPI interpretation and trusted reporting.
* Design for large-scale data, including partitioning strategies, performance considerations, and schema evolution/versioning to support dynamic environments and changing source systems.
2. Business Translation & Stakeholder Engagement
* Function as a senior interface between business, process owners, architects, and engineering teams
* Translate ambiguous or complex business requirements into clear, structured data designs.
* Lead data modelling workshops, reviews, and design discussions with senior stakeholders.
* Establish a shared vocabulary for business concepts, entities, and relationships across teams.
3. Standards, Governance & Quality Enablement
* Enforce data modelling standards, naming conventions, and design guidelines
* Ensure alignment with data governance, metadata, lineage, and data quality initiatives.
* Drive consistency of data definitions across domains and systems to reduce ambiguity and rework.
* Proactively identify structural data risks and recommend design improvements.
4. Interoperability Modelling (APIs & Event Streams)
* Model data structures that enable modern system interoperability, including:
* API-oriented data contracts (request/response payload structures, canonical entities)
* Event-driven integration (event schemas, keys/identifiers, versioning rules)
* Partner with application/integration teams to ensure models are consumable, stable, and well-governed across system boundaries.
5. Architecture & Delivery Support
* Partner with solution architects, data engineers, BI teams, and application teams to ensure models are implementable and performant.
* Support downstream use cases such as data warehousing, reporting, analytics, and integration.
* Ensure traceability from business requirements → data models → physical implementation.
5. Mentoring & Capability Building
* Coach and mentor junior data modelers and analysts
* Review and challenge data models produced by project teams
* Promote data modelling best practices and data literacy across the organization
Required Skills & Experience
7–10 years of hands-on experience in data modelling across multiple domains and complex enterprise environments.
Core Expertise
* Strong, hands‑on experience with conceptual, logical, and physical data modelling
* Deep understanding of entities, attributes, relationships, keys, constraints, and normalization
* Proven ability to model complex, cross‑domain data landscapes
* Strong capability in dimensional modelling and enabling semantic layers for reporting and BI consumption
* Preferably Manufacturing and Supply chain industries applications/data knowledge
Technical & Architectural Knowledge
* Solid understanding of relational data models; cloud-native architectures (lakehouse, distributed data, Fabric/Synapse), exposure to dimensional and NoSQL patterns is a plus
* Familiarity with data warehousing, analytics, and system integration concepts
* Comfortable working with modelling tools and structured documentation repositories
Collaboration & Influence
* Strong facilitation and communication skills—able to explain complex data topics simply
* Experience working with senior stakeholders across business and IT
* Structured, detail‑oriented, and quality‑driven mindset
Education & Credentials
* Bachelor’s or master’s degree in computer science, Information Systems, Data Management, or related field
* Data management or architecture certifications (e.g., DAMA‑aligned, TOGAF) are an advantage
Our Mission
ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.
ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.