Data Architect
from over 15,000 CVs with precise AI matchingHire specialists in cloud data platforms, data warehousing, master data management and analytics architecture. FRATCH connects you with vetted, available freelance Data Architects who match your technical needs quickly and precisely.
Meet FRATCH Data Architects
Ali B.
Last position:
Domain Architect Data & IT/OT at Tata-steel
Projects: Assessment, Migration, Modernisation, Strategy, Principles
- Leading the assessment of the current database landscape across different Tata-steel IT/OT factories
- Aligning with the strategy and developing data principles for use across the enterprise by all factories to improve quality
- Simplifying the data landscape by reducing the number of tools used for extraction, transformation and analysis
- Leading the review of current data governance tools and the selection of data governance tools
- Proposing the right solution for the Drones use case to store and integrate data on-premises for OT, as well as AI in the cloud
- Brainstorming with OT departments on how to position historians as fit for purpose within OT and IT
- Examining Oracle UELA with Procurement and guiding executive stakeholders in decision-making
- Leading the sizing and cost assessment with Procurement for Oracle ExaCC for the coming years
- Creating a roadmap for Domain Data & IT for the next two to five years to present company-wide
- Setting up the migration strategy and identifying Oracle candidate databases to migrate to Oracle Exacc
- Guiding Solution Architects towards a solution using the principles created for the TATA DNA Platform
- Providing the strategy for on-premises and cloud backup and archiving using IBM Prospect, Azure and OCI
- Creating a standard reference architecture for data environments and tools for ETL and reporting for advanced analytics
Key Technologies: Oracle, Sequel Server, IBM DB2, Github, SAP, Databricks, Azure, Beaver, Oracle ExaCC, Spotfire, Azure Purview, ETL Tools, PowerBI, Tibco DataVirtualization, TIBCO spotfire, DataBricks, Azure Edge Apache Airflow, Sql server, Azure Data factory, Azure Blob Storage, logic apps, power-apps, Azure File Synch
Stefan M.
Last position:
SAP Architect at Manufacturing Industry
SAP Business Data Cloud / Datasphere rollout
Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance
Tasks / Responsibilities:
- Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
- Designing spaces, data products, and data flows for integrated data models
- Connecting SAP and non-SAP systems via SDI, ODP, APIs
- Integration with SAP Analytics Cloud for self-service analytics
- Building governance, security, and authorization concepts
- Creating architecture guidelines & performance optimization
Results / Achievements:
- Introduced a central data catalog & authorization concept
- Laid the foundation for self-service analytics
Martin Z.
Last position:
Director / Solution Architect – Digital Marketing & Sales at UBS / Credit Suisse
Shape the Martech landscape for UBS Marketing, with a focus on Client Data Platforms (CDP) and Adobe Experience Platform (AEP).
- Adobe Experience Platform: Designed XDM schemas, ingestion, segments and audiences.
- Data Pipelines: Built Databricks (Spark) pipelines that prepare client data for AEP.
- Journey Orchestration: Designed customer journeys in Adobe Journey Optimizer (AJO).
- EA Governance: Keep strategic initiatives in line with enterprise architecture standards.
- Strategy & Evaluation: Evaluate vendors for new Marketing & Sales solutions (Martech), including Adobe AEP, AJO, CJA, MS Dynamics, Salesforce, Redpoint and Pega.
- Roadmapping: Create the solution designs for landscape integration and define the program's delivery roadmap.
- Team Ramp-up: Set up and grow the program's technical delivery team.
André G.
Last position:
Financial Reporting Consultant at Client anonymized (services sector)
Financial reporting as an MVP. Follow-up assignment.
- Reports on profit and loss, balance sheet and cash flow
- Budget and personnel metrics (FTE)
- Implementation as an MVP with a fixed scope
Michael O.
Last position:
Gas station attendant at Shell
- Accurate handling of customer transactions under time pressure, including cash and register processing with high care
- Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills
Arthur J.
Last position:
Principal AI Consultant & Founder at Modus Data GmbH
Independent Swiss data science and applied AI consultancy: strategy, architecture, and hands-on delivery of custom AI, LLM, and MLOps projects. Available for fractional advisory, architectural audits, and end-to-end project delivery.
Henry M.
Last position:
Restructuring of the Datacenter of ACS Solutions at ACS Solutions GmbH
Details & Responsibilities:
Responsible for ACS Datacenter operations at all locations for over 10 years. This includes more than 3.500 virtual systems for over 100 Datacenter customers with + 20.000 users worldwide. The associated annual revenue volume is 7 Mio. Euro.
Introduction of an HCI platform to replace the previous “Legacy” platform. Project volume 2 Mio. Euro
About the company:
ACS Solutions GmbH stands for innovative and pioneering structures in information technology. Holistic consulting and individual, future-proof solutions for medium-sized companies. Datacenter and Managed Service Provider with three Datacenter locations in Germany and more than 40 employees.
Karl F.
Last position:
ONECEPT Website at ONECEPT GmbH
Development and implementation of the website onecept.at using React/Next.js. Focus on responsive web design, high-performance component structure, basic SEO optimization, and technical deployment.
Technologies: React, Next.js, TypeScript / JavaScript
Markus S.
Last position:
Domain Architect Core Party Data at ING DiBa AG
Technologies: Confluence, PlantUML, BPMN
- As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.
Uditha W.
Last position:
Data Science Tutor at University of Europe for Applied Sciences
- Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
- Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
- Explained complex analytical concepts clearly to audiences with different levels of technical experience.
Gerald G.
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for the realignment of the data architecture of the Government of Abu Dhabi, with the goal of creating a fully AI-based public administration
- Defining modeling standards
- Building a conceptual and a logical model for the entire government administration of Abu Dhabi
- Defining data quality and data security standards
Rainer S.
Last position:
Data Engineer | Data Analyst | Power BI Architect
Banking project
- Analyzed and built a report store with the related data integration workflows.
- Developed and optimized T-SQL stored procedures and SSIS packages for data preparation and loading.
- Developed Power BI reports and delivered business reporting requirements.
Technologies: SQL Server, T-SQL, SSIS, Power BI, Visual Studio 2022, PowerShell, VBA, .NET
Emanuel F.
Last position:
Interim Architect & Data Taskforce at Freelancer / Project Assignments
- Data Engineering: Design and implementation of scalable data pipelines
- Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
- BO Universe migrations to MS Fabric / Semantic Models / Power BI
- Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL
Deschances T.
Last position:
Senior Data Architect at Odd Parrot
- Supporting UBS Wealth Management as Senior Data Architect within a multi-year enterprise data mesh transformation.
- Guiding a strategic stream to design and implement a data product aligned with UBS’s enterprise-wide data mesh framework.
- Leading architecture definition, governance alignment, and cross-domain integration to ensure scalable, compliant, and reusable data products across global stakeholders.
- UBS – Global Wealth Management Data Product Architecture: Designed an enterprise-aligned data product spanning 26 countries, defining data contracts, metadata standards, and federated architecture patterns enabling cross-domain reuse across the bank.
- Defined cross-jurisdictional data policies and access controls to ensure compliance with regulatory requirements across multiple regions (EU, APAC, LATAM, CH).
Andreas W.
Last position:
Self-employed Software Developer at amw-software.net
Discover over 15,000 top freelancers
Data Architects statistics
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
3.5 years
Positions per freelancer
15
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
90%
Master's degree or higher
58%
Doctorate
8%
Certifications per freelancer
5
Most common languages
German, English, Spanish
Speak two or more languages
97%
Based on our profile pool as of 13 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this role are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates for Data Architects
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 13 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Architects 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 (92%)
- Banking and Finance (60%)
- Manufacturing (55%)
- Professional Services (55%)
- Automotive (52%)
- Transportation (44%)
- Retail (39%)
- Telecommunication (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the role
Data architecture in practice
A Data Architect designs the structure that lets an organisation collect, govern, integrate and use data reliably. They translate business requirements into data models, platform decisions and clear standards for operational systems, analytics, reporting and artificial intelligence.
Typical deliverables include conceptual, logical and physical data models, architecture principles, integration blueprints, governance rules and migration plans. The work may cover structured and unstructured data across transactional databases, data warehouses, data lakes and lakehouses.
Core skills and methods
Strong professionals connect strategic design with practical implementation. They understand how data is created, exchanged, secured and consumed across the organisation.
- Design relational, dimensional and domain-based data models
- Define data warehouses, data lakes and lakehouse architectures
- Plan APIs, event streams, ETL and ELT pipelines
- Establish metadata, lineage, quality and master data practices
- Align architecture with privacy, security and access requirements
- Document decisions so teams can build and operate consistently
They commonly work with cloud services such as Azure, AWS or Google Cloud, as well as Snowflake, Databricks, BigQuery, SQL databases and integration tools. Their method depends on the context: centralised enterprise architecture, data mesh, service-oriented integration or a pragmatic hybrid approach.
When companies bring in a freelancer
Companies hire a freelance Data Architect when a platform needs direction before implementation, when several systems must be integrated or when existing data has become difficult to trust and manage. A specialist can assess the current landscape, define a target architecture and create a roadmap without being tied to one vendor or delivery team.
This role is useful during cloud migrations, ERP or CRM programmes, analytics transformations, mergers and modernisation projects. It also helps when internal engineering teams need architectural leadership for a defined phase, or when a permanent team lacks experience with a particular industry, cloud environment or data operating model.
What strong professionals deliver
The best results are specific, adoptable and connected to business outcomes. A good architecture is not a diagram stored in isolation; it gives product, engineering, security and analytics teams decisions they can use.
- Clear boundaries between systems, domains and data ownership
- Models that support reporting, operations and future change
- Realistic migration steps with dependencies and trade-offs
- Practical standards for naming, quality, retention and access
- Documentation that engineers and business stakeholders understand
Strong Data Architects ask precise questions about source systems, users, latency, regulation, cost and accountability. They challenge unnecessary complexity, explain trade-offs clearly and validate their design against real workloads. Their value is visible in fewer integration problems, more dependable data and a platform that can evolve.
Frequently asked questions
Quick answers to the questions that come up most around Data Architects.
A freelance Data Architect assesses existing systems, defines the target data landscape and turns business needs into models, integration patterns and platform choices. They may also guide implementation teams, establish governance practices and support migrations from legacy databases to cloud environments.
A Data Architect focuses on the structure, standards and long-term direction of the data environment. A Data Engineer usually builds and operates pipelines, storage layers and processing jobs, although responsibilities can overlap on smaller projects.
An effective data architecture specialist combines data modelling, SQL, integration design, cloud platforms, security and governance knowledge. They should also explain technical trade-offs to business stakeholders and produce documentation that delivery teams can apply.
A freelance Data Architect is often a good fit for a cloud migration, platform assessment, merger, ERP programme or defined architecture phase. A company can bring in focused expertise for the critical design work while its internal teams retain ownership of ongoing operations.
Yes, much of a Data Architect’s work can be delivered remotely through workshops, architecture reviews, shared documentation and collaboration with engineering teams. On-site sessions may still help when the project involves sensitive stakeholders, complex legacy environments or major organisational change.
A cloud Data Architect may bring valuable depth in Azure, AWS or Google Cloud, especially when the target platform is already selected. Platform knowledge matters, but strong professionals also understand portable principles such as modelling, governance, integration, resilience and workload fit.
Review whether the Data Architect can show clear models, sensible decision records and migration plans tied to actual business requirements. Ask how they handle data quality, ownership, security, cost and conflicting stakeholder needs rather than judging them only by familiarity with specific tools.
A Data Architect should have a defined mandate covering discovery, current-state assessment, target architecture, key deliverables and collaboration with engineering, security and business teams. The scope should also state whether the professional is expected to support vendor selection, implementation oversight, governance setup or handover.
The average hourly rate for Data Architects is 102 €, which corresponds to a daily rate of about 813 € based on an 8-hour working day.
Of the freelancers working as Data Architects, 90% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers working as Data Architects have 21 years of professional experience, with a single engagement typically lasting around 3.5 years.
The most common languages among freelancers working as Data Architects are German (97%), English (95%), and Spanish (11%).
The most common industries among freelancers working as Data Architects are Information Technology (92%), Banking and Finance (60%), and Manufacturing (55%).
The most common business areas among freelancers working as Data Architects are Information Technology (100%), Business Intelligence (89%), and Project Management (74%).
FRATCH Data Architects main locations
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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Philipp Thomaschewski
FRATCH CEO
