Find the perfect Data Architects in Germany in minutes from 15,000 CVs with the power of AI.
Design of modern data platforms, data warehouse and lakehouse architecture, and clear governance for reliable reporting and analytics. Match with vetted, available freelancers who can join quickly and work closely with your team.
About the role
Data model design
A Data Architect turns business needs into a data design that teams can build and trust. The work covers source analysis, domain models, master data, integration patterns, and the rules that keep reporting consistent across systems.
- Define target data architecture and data flows
- Design warehouse, lakehouse, or data lake structures
- Set naming, lineage, and data quality standards
- Align business terms with technical models
Delivery focus
Strong Data Architects do more than draw diagrams. They make sure platforms are usable for analytics, BI, machine learning, and operational reporting. Common deliverables include architecture blueprints, data models, governance guidelines, and migration plans for legacy systems.
They are often brought in when a company needs to untangle fragmented ERP, CRM, or product data, or when new cloud platforms must fit existing landscapes in Germany and across global teams.
Key skills
A good Data Architect understands both business processes and technical detail. Look for experience with data integration, SQL, data warehousing, metadata management, security concepts, and cloud data platforms.
- Data modeling and schema design
- ETL and ELT design
- Governance, privacy, and access control concepts
- Cloud and hybrid architecture thinking
- Clear communication with engineering and business stakeholders
Tools and stacks
The right stack depends on the environment. Many Data Architects work with SQL, Python, Spark, dbt, Snowflake, BigQuery, Azure Synapse, Databricks, and common BI tools such as Power BI or Tableau. In enterprise settings, SAP data landscapes and MDM tools often matter as well.
What matters most is not tool recall alone, but the ability to fit tools into a stable architecture that can scale and stay maintainable.
When to hire
Companies bring in a freelance Data Architect when a platform change needs structure fast, when a migration is already underway, or when internal teams disagree on the target design. Interim support also helps during cloud modernization, data governance setup, or before a major analytics rollout.
For German companies, short-term external support is especially useful when a project needs precise documentation and close coordination with internal IT, BI, and security teams.
What strong experts do
The best Data Architects reduce complexity without creating new silos. They question weak assumptions, define clear standards, and explain trade-offs in plain language. They work well with engineers, analysts, product owners, and enterprise architects.
- Translate business goals into a practical target architecture
- Spot risks in integration, security, and data quality early
- Keep documentation current and usable
- Balance speed, governance, and long-term maintainability
Meet FRATCH Data Architects
Umut Gülac
Freelancer
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Nikolas Reichardt
Senior Solution Strategist & Data Architect | For scalable processes instead of legal roadblocks | CIPT Certified
Last position:
Data Protection Coordinator for Online-Services and Tracking-Technology at Telefónica Germany GmbH & Co. OHG
As a bridge between Legal, IT, and Marketing, my responsibilities include conducting technical due diligence, documentation, and designing privacy-compliant IT functions across multiple B2P Telefónica Germany brands as part of the RAITT digitalization program. Focused on aligning web and app services with GDPR, TDDDG, and Privacy by Design & Default principles.
Core responsibilities included analysing and visualising data flows across customer journeys, validating tracking and martech integrations, and supporting IT teams in designing privacy-compliant digital architectures. Delivered documentation for internal legal assessments and maintained OneTrust governance and cookie-banner accuracy.
Services and technologies involved:
- Identity & Authentication: CIAM (OAuth2, OIDC), login and session handling, customer account services
- Analytics & Measurement: Google Analytics (GA4), Google Tag Manager (Server-side Tagging & Data Stream Design), event tracking and tagging
- Advertising & Attribution: Google Ads, Google DoubleClick / Campaign Manager, Meta Pixel, affiliate partner integrations
- Experience & Personalisation: Adobe Experience Manager (AEM), Adobe Target, Adobe Experience Platform (AEP), Adobe Edge Network
- Security & Delivery: Cloudflare (CDN), PayPal FraudNet
- Compliance & Governance: OneTrust CMP, consent categories, cookie governance, TDDDG-compliant banner logic
- General web/app services: partner APIs, data transfers, tracking schemas, consent-dependent data activation
Dominik Meyenburg
Data Solution Architect
Last position:
Data Solution Architect at Dormakaba (Switzerland)
- Leading the MDM and Idea to Market team in implementing an SAP Master Data Governance solution and PTC Windchill integration as part of a global S/4 HANA transformation
- Independently managing workshops within the end-to-end streams
- Developing a state-of-the-art business partner and material master data design to enable AI-supported business decisions
- Designing and implementing template data management processes for a global S/4 HANA SAP system
Nikolay Tonev
Senior Cloud Data Architect
Last position:
Senior Cloud Data Architect at Cloudreach/Eviden (an ATOS Company)
- Architected a self-service Google Kubernetes Engine (GKE) platform for a major financial institution (Commerzbank), enabling 1000+ users across hundreds of product teams to autonomously provision resources and significantly accelerate development cycles.
- Designed a data-product-oriented platform architecture for the UK Department for Transport (DfT) to serve over 1500 direct end-users and numerous connected third-party systems, enhancing data accessibility and governance.
- Drove business growth by developing the strategic roadmap for the 'One Cloud' business line, targeting a 10% revenue increase.
- Served as a key member of the CTO Authority, providing strategic guidance on internal cloud initiatives and best practices.
Nils Meyer
Database Architecture for PostgreSQL
Last position:
Database Architecture for PostgreSQL at ComputaCenter / Deutsche
- Planning and documentation of database architecture and integration with other components provided by other teams and vendors
- Extensive documentation for the architecture, security, access control, encryption, roles and user management, backup and restore, disaster recovery and general operations
- Deployment of database clusters over 2 locations with 2 availability zones each
- Automation of deployment and operations including backup using Ansible
- Hardening of the database and operating system
- Migration of existing stand-alone database systems to cluster setup
- Technologies: PostgreSQL, Patroni, etcd, barman, RedHat Enterprise Linux 9 (RHEL), Ansible, Ansible Automation Platform, TLS, Hashicorp Vault, LUKS
Finn Hinrichsen
Data Architecture
Last position:
Data Architecture at NTT Global Ltd.
Design and implementation of a big data energy reporting infrastructure for operational data from data centers in EMEA for aggregated client reporting and the energy efficiency register (EnEfG)
Integration of data from over 50 systems, including GridVis, Robotron, Niagara, ShowIT, and Salesforce
Ammad Tarar
Senior Data Architect
Last position:
Senior Data Architect at Makerverse
- Designed and implemented the company's end-to-end data architecture, including ingestion, modeling, and BI layers.
- Developed modular and reusable dbt models to support product, finance, and marketing analytics.
- Introduced data governance practices and metadata management, improving trust and discoverability across teams.
Ulaş Öncül
Data Modeler, Data Architect
Last position:
Freelance Business Intelligence Data Modeler at Vodafone Turkey
- Developed an in-depth understanding of the business processes and data in the corporation
- Assisted in maintaining the corporate data
Tarek Salha
Cloud Engineering
Last position:
Cloud Engineering at Freelancer
- Development, operation and support of BI platforms and microservice architectures
- Development of an open-source BI scheduling tool
Jorge Machado
Data Architect
Last position:
Data Architect at Deutsche Bahn
- Design and provide best practices on data modeling for dbt, including changing dimensions, late arriving data handling, and testing
- Design the ingestion flow from other systems into S3 and Redshift
- Design and implement new partitions for Dagster and incremental loading with dbt
- Map business requirements to technical architectures
- Instruct junior team members
Markus Groh
Data Solution Architect, Founder
Last position:
Data Solution Architect, Founder at GRITCON GmbH
- Design and development of modern cloud DWH & data platforms
- Data Vault automation
- Implementation of ELT and CI/CD processes
- Requirements analysis and data modeling
- Building an automated cloud data platform as a reference architecture for financial risk controlling (Snowflake, Data Vault, DBT, Python, GitHub) 2024-10-01 – 2025-06-30, Zurich
- DWH further development, operations and cloud migration (Data Vault, DBT, SAP Data Services, Alteryx, SQL Server, Azure Synapse) 2023-03-01 – 2025-06-30, Frankfurt
- Implementation of a global cloud data platform (Data Vault, WhereScape, Snowflake, AWS, Scrum) 2021-04-01 – 2023-12-31, Cologne
- Proof of concept for a global cloud data platform (Data Vault, Snowflake, Synapse, WhereScape, Azure, Scrum) 2022-04-01 – 2022-07-31, Bonn
- Implementation of a cloud data platform (Data Vault, Snowflake, WhereScape, AWS) 2021-07-01 – 2022-04-30, Karlsruhe
- Big data integration of all source systems related to the ITSM process (Data Vault, Snowflake, WhereScape, AWS, Scrum) 2021-01-01 – 2021-05-31, Prague
- Development and operation of a global self-service BI platform to display around 150 corporate KPIs (Data Vault, WhereScape, Postgres, Jenkins, Talend, AWS, Scrum) 2018-11-01 – 2020-12-31, Frankfurt
- Implementation of a DWH for price management and capacity forecasting in long-distance passenger transport (SAP BODS, SQL Server, AWS) 2017-10-01 – 2018-11-30, Frankfurt
- Introduction of SAP BODS and migration of the existing DWH (SAP, BODS, HANA, Oracle, Cognos) 2017-05-01 – 2017-10-31, Rastatt
Matthias Barfknecht
Database Developer / Database Architect
Last position:
Database Developer / Database Architect at Freelancer
- Advised and supported application developers on database topics
- Designed and developed interfaces
- Optimized database performance
- Automated rollout and release processes in the database environment
- Implemented security requirements
- Delivered metrics to management
- Developed new scripts to automate rollouts
- Adapted scripts for database deliveries
- Identified and resolved issues during Oracle 12 to 19 upgrades
- Adjusted database parameters, permissions and roles
- Conducted feasibility studies and migrations from AWS EC2 to AWS RDS
- Migrated database delivery versioning from SVN to Git/Artifactory using Ruby and Artifactory REST API
- Analyzed Statspack/AWR reports and optimized long-running SQL statements
- Configured SSL/TLS encryption for Oracle databases including proof of concept and rollout planning
- Configured Kerberos authentication for Oracle users with Active Directory and single sign-on
- Conducted database technology selection workshops for microservices (SQL, NoSQL, Amazon S3)
- Modeled and designed a PostgreSQL Docker instance with liquibase scripts for Git pipeline deployment
- Refactored mass data export interfaces and developed PL/SQL packages
- Developed PL/SQL packages for REST-service communication and SOAP data conversion
- Supported cloud migration of Oracle databases to AWS RDS with migration scripts
- Developed and refactored PL/SQL functions/packages for performance and business logic
- Planned and prepared new database schemas using execution plan analysis and AWR metrics
Martin Mauch
Freelance Data Architect
Last position:
Freelance Data Architect at Zeppelin
- Evaluation and scoring of various technologies as future telematics platform (Kafka Streams, Spark, Splunk, Snowflake)
- Improve test framework and scalability of Telematics streaming service (Scala, Property-Based Testing, Kafka, Kafka Streams, Kubernetes)
Discover over 15,000 top freelancers
Data Architects statistics
Typical experience
18 years
Average project duration
3.9 years
Certifications per freelancer
6
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Retail, Banking and Finance
Most common languages
German, English, Turkish
Bachelor's degree or higher
88%
Master's degree or higher
38%
Salary / Daily Rate Distribution
The chart shows how the daily rates of freelancers in this role 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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Data Architects & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Looking for clear information? Everything important about FRATCH is here
A Data Architect designs how data should move, be stored, modeled, and governed across systems. On a freelance project, that usually means assessing the current landscape, defining the target architecture, and giving engineering teams a clear implementation path. The role is about structure and decisions, not only documentation.
Look for strong data modeling, integration design, and governance skills. A good Data Architect also needs hands-on knowledge of SQL, cloud data platforms, metadata, and security concepts. Just as important is the ability to explain trade-offs to both technical and business stakeholders.
A data engineer focuses on building pipelines and making data flow reliably. A BI architect is usually more centered on reporting layers and semantic models. A Data Architect sits above both and defines the overall structure, standards, and target design that those roles then implement.
A freelancer is often the better choice when you need design work for a specific initiative, such as a migration, cloud setup, or governance rollout. It also makes sense when the need is urgent and you want senior guidance without a long hiring process. Many companies use a freelance Data Architect to unblock a project before deciding on a permanent role.
Typical outputs include target architecture diagrams, data domain models, integration patterns, migration roadmaps, and governance principles. A strong Data Architect also documents assumptions and dependencies so teams can build with fewer surprises. The best deliverables are practical enough for engineers to use right away.
Yes, most of the work can be done remotely if the communication setup is clear. For some projects in Germany, especially in larger enterprises, on-site workshops are helpful at the start to align stakeholders and access complex system landscapes. Hybrid collaboration is often the most practical option.
Review how they describe past architecture decisions, not just the tools they know. A strong Data Architect can show how they handled data quality, security, integration, and long-term maintainability in real projects. Good signs are clear thinking, structured documentation, and strong stakeholder alignment.
Searchers sometimes use adjacent titles such as Data Solution Architect or Enterprise Data Architect when they mean this kind of work. In some companies, the role is also described as a data platform architect, especially when cloud architecture is central. The exact title matters less than whether the person can shape a reliable data foundation.
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Philipp Thomaschewski
FRATCH CEO
