Data Modeling Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Data Modeling
Matthias S.
Last position:
Lecturer in Software Management at Graubünden University of Applied Sciences
- Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
- Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle
Gwang Jin K.
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Nikita V.
Last position:
Salesforce Technical Architect at Fennia
- Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
- Resolved WCAG AA compliance issues to support strict accessibility requirements.
- Integrated legacy systems into a new portal via REST API to support existing products.
Alexander S.
Last position:
Senior ABAP-OO Developer at Die Schweizerische Post AG
"ZLF – Future Billing Solution"
Cross-module S/4HANA
- Technical consulting and development in the area of S/4 Master Data Governance (MDG-BP)
- Various developments in HR-BP integration, order-to-cash, SAP CAR analytics data modeling, interfaces from and to third-party systems. (native HANA, CDS, RAP, Fiori Elements, OData)
Andreas I.
Last position:
Business Development at SoftQuadrat GmbH
- Analysis of the current situation and repositioning of the brand
- Building up recruiting, sales, and customer support
- Planning for trade fair participation
- Establishing a sales process
- Introducing a CRM tool (Pipedrive)
- Setting up a subsidiary in Switzerland
- Implementing all aspects of temporary staffing
Hanspeter J.
Last position:
Lead Salesforce Consultant DACH at DXC Technology
- Recording, validating, and coordinating customer requirements
- Analyzing customers' business processes, and designing and implementing solutions in Salesforce
- Designing and developing Salesforce architectures using Sales and Service Cloud
- Maintaining and expanding my skills to stay current with Salesforce's new features
- Taking an active role in the pre-sales phase and working closely with sales and pre-sales teams
- Building and strengthening the team's expertise in new areas
- Actively helping to define and align my role within DXC's best practices
- MC Growth implementation
- AI Agentforce Agents Builder
- Agent Designer with elements.cloud
- Salesforce org assessments
- Process configuration mining
- Serving as a single point of contact for global SFDC contacts
- Coordinating projects with the EMEA and global headquarters
- Preparing proposals and presales work with Salesforce Account Executives and client partners for global accounts
Markus F.
Last position:
Logistics Expert/Coach at RAPID Technic AG
- Coaching, developing fundamentals and leading technical aspects in logistics transformation
- Extending SAP WM functionalities
- Efficiency measures in shuttle warehouse technology
- Setting up logistics operations reporting
- Comprehensive inventory planning and execution
- Preparing the technical and commercial foundations for cooperation with external logistics service providers
- Recommendations for the future process and organizational structure
Reinhold S.
Last position:
Senior Software Developer at Hitachi Energy
- Support and further development of the Leegoo Builder
- Handling ad hoc requests
- Definition of rules/attributes and their rules
- Optimizing and managing SQL queries
Dariusz K.
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Reto B.
Last position:
Managing Director at Atsoft GmbH
- Consulting in ICT, business processes, system architecture, web integration, client-server computing, cross-platform development, responsive web design, social media integration, GUI
- Custom and specialized solutions
- Applications for small and medium-sized enterprises
- Web services, web applications, portals, application extensions (add-ins, plug-ins)
- Database design, interface solutions
- Outsourcing in various industries
- Solutions for other software houses
- Project management and project support (software engineering, coding)
Marco C.
Last position:
Global Process Owner Business Intelligence at Interroll SA
- Cover the role of Global Process Owner of the Business Intelligence area and contribute to designing the Data Strategy
- Responsible for the global BI platform based on SAP BW4/HANA, SAP Analytics Cloud, Datasphere, Analysis for Office and Power BI
- Collaborate with the FICO team due to acquired skills in this area
- Work closely with the business worldwide to build dashboards, data models and reports to provide useful insights
- Coordinate international analytics teams as project manager and report project progress to the Board
- Participated in the two-year S/4 implementation project with SAP Switzerland, coordinating the SAP implementation team in Portugal and ensuring go-live with all dashboards and reports working and data matched S/4
- Managed BI projects in Sales, Finance, Global KPIs, Manufacturing and Purchasing as project manager; developed and coded when necessary
- Led the migration of reports from BusinessObjects and Lumira to Analysis for Office and BW4/HANA
- Developed Spend Analytics data models and dashboards to analyze purchasing across 30+ entities, achieving 8% savings on purchasing volume and increased group profitability
- Defined data strategy for the group
- Created the global Business Intelligence site on Viva Engage, published stories and built the BI website containing links to training, BI directive list of reports and dashboards
- Created success stories as business use cases, published on Viva Engage
- Led the Business Intelligence function globally, coordinating BI development teams in Switzerland and abroad
- Personally developed data models, reports and dashboards
- Involved in privacy and security topics to guarantee correct compliance of data management
- Coded using different programming languages
- Managed more than 15 BI projects over 5 years using agile methodology, delivered on time, on budget and on quality
- Wrote the BI directive on correct usage of BI tools in the company
Bartosz P.
Last position:
Senior Project Manager, Product Owner at SoftwareONE
- Led a global enterprise-platform upgrade across 60+ countries, coordinating multiple localizations, integrations, and stakeholder groups from multiple locations, including Europe, US and India.
- Product Owner for a delivery team focused on platform usability, performance, and reliability—owning backlog, roadmap, and KPI outcomes.
- Implemented governance and audit-ready processes that made change safer and more predictable, and improved platform compliance with regulatory requirements.
Kalin S.
Last position:
Sr Data Engineer / Architect at Samsung Logistics
- Architected and implemented a structured three-layer enterprise data warehouse model in Azure, establishing a robust and scalable data environment.
- Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
- Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
- Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
- Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
- Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.
- Technologies: Azure Data Factory (ADF), Azure, MS-SQL, DataVault 2.0, Git, Power BI, data quality automation, Agile/Scrum, data modeling, self-service BI, stakeholder management.
Ala L.
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.5 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Manufacturing, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
81%
Master's degree or higher
81%
Doctorate
13%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Switzerland using Data Modeling
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Modeling experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (81%)
- Manufacturing (62%)
- Banking and Finance (57%)
- Professional Services (57%)
- Healthcare (43%)
- Education (33%)
- Transportation (33%)
- Retail (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Modeling Covers
Data modeling defines how information is structured, related and governed across an application, analytics environment or enterprise landscape. It turns business concepts into conceptual, logical and physical models that guide databases, integrations and reporting. Strong models make data easier to understand, validate and use over time.
Models for Real Systems
Data modeling supports transactional platforms, customer data environments, data warehouses, lakehouses and master data initiatives. Experts map entities, attributes, relationships, keys and business rules before implementation. They also design dimensional models for dashboards, analytical workloads and operational reporting.
Methods and Tooling
- Create conceptual, logical and physical data models
- Design relational, dimensional and document-oriented structures
- Define schemas, constraints, naming rules and metadata
- Document lineage, ownership and transformation logic
Common tools include ERwin Data Modeler, SAP PowerDesigner, dbt, SQL workbenches and diagramming software. The right approach depends on whether the environment uses relational databases, cloud warehouses, NoSQL stores or a combination of systems.
When Companies Need Expertise
- Legacy databases are difficult to interpret or change safely
- Reporting teams disagree about definitions and metrics
- New applications need a clear schema and integration plan
- A migration, merger or modernization project is underway
Freelance expertise can establish a model, review an existing design or create standards for several teams. In Switzerland, specialists may support financial services, manufacturing, healthcare, retail and public-sector environments, with remote or on-site collaboration based on project needs.
Skills Around the Model
Effective data modeling combines business analysis with SQL, database design and integration knowledge. Experts often work with ETL or ELT pipelines, APIs, data governance, master data management and cloud services such as Snowflake, Databricks or BigQuery. Familiarity with Agile delivery helps them turn models into usable technical specifications.
What Strong Experts Deliver
A strong professional makes assumptions visible and separates business meaning from implementation detail. They test relationships, cardinality, keys, history handling and performance implications with stakeholders. Clear diagrams, definitions, decision records and maintainable documentation matter as much as the model itself. The best collaboration also includes practical guidance for teams that will build, query and govern the data.
Frequently asked questions
Quick answers to the questions that come up most around Data Modeling.
Data Modeling is used to describe the entities, relationships, rules and structures that an information system needs. It guides database design, application development, data integration, reporting and governance. A well-defined model gives teams a shared view of what data means and how it should behave.
Data Modeling focuses on representing business concepts and their relationships at conceptual, logical and physical levels. Database design turns those decisions into an implementation for a specific database engine, including indexes, storage choices and performance settings. The two disciplines overlap, but modeling should not be reduced to writing tables.
Data Modeling for analytics often uses dimensional structures with facts, dimensions and clearly defined business measures. A normalized model is usually better suited to reducing duplication and maintaining transactional consistency. The choice depends on query patterns, update needs, reporting goals and the architecture around the data.
A strong Data Modeling expert usually brings SQL, relational database concepts and experience with integration patterns. Knowledge of data governance, master data, metadata, lineage and ETL or ELT improves the result. Cloud warehouses, NoSQL systems and tools such as dbt may also be relevant to the project.
The right level for a Data Modeling project depends on its scope and risk. A focused schema review may need a specialist who can assess relationships and constraints quickly, while a company-wide redesign requires experience with governance, migration and stakeholder alignment. Ask for examples of comparable models and the decisions behind them.
Data Modeling is well suited to remote collaboration when teams can share requirements, diagrams, repositories and review sessions. On-site workshops can help when business definitions are disputed or sensitive systems require close coordination. In Switzerland, clarify language expectations early if stakeholders work in German, French, Italian or English.
A good Data Modeling deliverable is understandable to both business and technical stakeholders. Check whether it defines terms, keys, cardinality, constraints, history and ownership, and whether it records important assumptions. The model should also support realistic queries, integration flows and future changes without unnecessary complexity.
Before a Data Modeling assignment, clarify the business goals, source systems, target platform, delivery stage and decision makers. Establish whether the work covers discovery, model design, documentation, migration support or governance standards. Agreeing on notation, review routines and access to subject-matter experts prevents avoidable rework.
The average hourly rate of freelancers in Switzerland who have used Data Modeling in their recent projects is 119 €, which corresponds to a daily rate of about 951 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Data Modeling in their recent projects, 81% hold at least a Bachelor's degree, 81% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Switzerland who have used Data Modeling in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Switzerland who have used Data Modeling in their recent projects are English (100%), German (86%), and French (29%).
The most common industries among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (81%), Manufacturing (62%), and Banking and Finance (57%).
The most common business areas among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (95%), Business Intelligence (67%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Data Modeling
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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Philipp Thomaschewski
FRATCH CEO
