Guido de Vries

Data Architect & Strategy Consultant

Email: guido@activateconsulting.nl
LinkedIn: linkedin.com/in/guido-de-vries
Website: activateconsulting.nl
Mobile: +316 2138 5469
Location: Netherlands

Profile

I help mid to large sized trading and retail companies turn data into a strategic advantage — by embedding it in daily processes, decision-making, and long-term goals. Whether it’s designing modern data architectures, implementing scalable Snowflake solutions, or delivering a complete data strategy within 6 to 12 weeks: I focus on results that truly align with organizational priorities.

Where I excel is bridging the gap between vision and execution. I translate complexity into clarity and know how to combine long-term architecture with rapid, practical delivery. I feel most in my element when there’s room to explore, build, and iterate — with just enough structure to maintain progress without slowing down.

My approach is hands-on, human-centered and based on experimentation. I believe in early testing, rapid learning, and continuous improvement. That mindset — “start small, think big, scale fast” — is embedded in everything I do. Good data systems aren’t just about tooling or models, but especially about adoption and usage. That’s why I pay a lot of attention to behavioral design and truly landing solutions.

Since starting as an independent consultant in 2018, I’ve worked with public and private organizations on everything from strategic roadmaps to platform rollouts — always focused on rapid results that continue to deliver value in the long term. I thrive in environments where challenge, creativity, and focus come together.

Let’s work together to turn your data into concrete progress for your organization.

Services

Data Strategy Program (6–12 weeks)

A structured program for developing and realizing a pragmatic data strategy that aligns with business objectives. The program includes a data maturity analysis, use case prioritization, operating model design, and high-level data architecture. Where relevant, it also looks at AI-readiness, opportunities for LLM applications, and responsible AI usage — all based on DAMA DMBOK and directly applicable in practice.

Data Architecture

Design and implementation of scalable, future-proof data platforms and models — including Data Vault, dimensional modeling, and metadata-driven architectures. Always with focus on modularity, governance, and integration within existing ecosystems like Snowflake, Azure, and Kubernetes.

Data Engineering

End-to-end development of robust, maintainable data pipelines with modern tools like dbt, Dagster, SQL, and Python — on Snowflake, Azure, or open-source environments. Always focused on building smarter and faster, where AI is deployed to accelerate and automate processes where it adds value.

Experience

Data Architect

Inter IKEA, Delft, Netherlands | June 2025 - Present

At Inter IKEA, I started by creating a plan to optimize the data interface and exchange landscape. Through years of growth, thousands of point-to-point interfaces had emerged without holistic oversight or governance. This resulted in insufficient control over data quality, lineage, and applicability. Where initially thought was given to “a new data platform,” the real need proved to be structurally organizing and scaling data governance and data management.

I wrote a pragmatic and executable plan that:

• Clearly assigns ownership and responsibilities for data domains and lifecycle management
• Positions a small, focused enablement team to guide business and data teams in capturing metadata, data standards, and data quality rules
• Defines processes and minimal tooling for catalog, lineage, contracts, and change management, so interfaces grow from point-to-point to manageable patterns
• Enables step-by-step cleanup and consolidation of connections without disrupting operations

This approach shifted focus from “more technology” to “better governance”, resulting in faster insight into data flows, improved data quality, and a sustainable foundation for decision-making and further modernization.

Skills & Responsibilities

• Data Governance and Management: ownership, data domains, policies, DQ framework, metadata operating model
• Interface landscape rationalization: inventory, standardization of patterns, contract-driven exchange, change process
• Metadata and Lineage: cataloging, definitions, traceability, source-to-consumer insight
• Team enabling: small core team that coaches and ensures business and data enablement teams
• Roadmap and Execution: iterative implementation, risk-driven prioritization, measurable improvements in quality and control

Co-founder & Data Lead

Biantix, Soest, Netherlands | January 2025 - May 2025

At Biantix, I combined hands-on data platform engineering with strategic consulting to help organizations truly extract value from their data. In these months, I built a scalable and modular data platform from the ground up with PostgreSQL, dbt, Dagster, Metabase, and Kubernetes, fully deployed via Terraform. The platform supports both rapid experimentation and reliable production environments. Development happens primarily in Python, with Cursor as an AI-enhanced IDE to iterate quickly and efficiently.

During development, I actively used GPT-4, Claude 3.5, and Claude 3.7 to accelerate the development process — by generating infrastructure code, optimizing data models, and automating repetitive tasks. This practical use of generative AI significantly reduced lead times and improved consistency within the stack.

Parallel to the technical work, I developed a reusable data strategy framework, based on DAMA DMBOK, specifically tailored to small and medium-sized organizations. I use this in client projects to measure data maturity, align initiatives with business goals, define operating models, and set up governance without unnecessary complexity. It serves as both a strategic blueprint and a practical executable guide.

These efforts reflect Biantix’s mission: making high-quality, AI-enhanced data capabilities accessible to organizations that want to grow.

Skills & Technologies Applied

• AI-Assisted Development: GPT-4, Claude 3.5/3.7 for code generation and platform automation.
• Data Platform Engineering: dbt, PostgreSQL, Dagster, Metabase, Kubernetes, Terraform.
• Programming & Tooling: Python, Cursor IDE, Git workflows, modular design practices.
• DevOps & Orchestration: Infrastructure-as-Code, CI/CD, containerized environments

Data Architect

Viterra, Rotterdam, Netherlands | October 2021 - December 2024

At Viterra, I had a key role in shaping and executing the data strategy within a complex, international environment. My work spanned both hands-on data architecture and structurally improving data governance, platform design, security, and innovation.

In the first phase, I focused on bringing structure and scalability to a largely unstructured research environment. The Research department worked mostly with external datasets in free formats. I designed and built a new data platform specifically tailored to this situation — with support for analytics, machine learning, and reporting on global commodity markets. This platform formed the basis for predictive models and reliable insights, giving the team a stable and well-managed foundation to build upon.

Simultaneously, I worked on setting up Viterra’s broader data strategy. I defined the desired architecture, aligned it with business goals and information flows, and ensured that governance, information security, and access control based on responsibilities were structurally embedded within a federated model.

In the second phase, I led the implementation of the data strategy. I designed and documented Viterra’s complete data landscape and established key data management processes within the organization. As lead Data Architect, I was responsible for the rollout of the new Snowflake platform, standardizing data modeling, and improving information management. I also introduced a central data catalog and brought in business architecture principles to better connect data to operational practice.

During this period, I also led the implementation of an AI solution with Snowflake Cortex, based on LLM technology. This use case showed how AI could contribute to improving internal search functions and knowledge discovery.

In addition to the technical work, I coordinated the internal BI team and worked closely with departments to modernize data flows, improve data quality, and stimulate adoption of new tooling. In doing so, I applied principles of behavioral design and decentralized responsibility to promote adoption in a federated organizational context. My approach was strategic and pragmatic — focused on delivering value and building trust within the organization.

Skills & Technologies Applied

• Data architecture & strategy: Business architecture design, enterprise data modeling (ARIS), platform design, mapping information flows, and aligning data structures with business processes.
• Information management & governance: Application of DAMA DMBOK principles, implementation of governance frameworks, integration of information security, and rollout of a central data catalog (DataHub).
• Expertise in modern data suite: Hands-on experience with Snowflake (incl. Cortex), dbt, Airflow, Kubernetes, SQL Server, AWS, and Python for building and orchestrating scalable data pipelines.
• Data quality & monitoring: Applied to data validation and quality assurance using Great Expectations.
• Analytics & visualization: Development of reports and analytics capabilities with Tableau, supporting advanced use cases within research and operations.
• Team development & adoption: Leading technical teams, coordinating BI initiatives, and coaching stakeholders in modeling, process adoption, and modern tooling.
• AI & knowledge discovery: Led the implementation of an AI solution with Snowflake Cortex, based on LLM technology. This use case showed how AI could improve internal search functions and knowledge discovery, with two approaches:
  • Text and vector-based search solutions
  • Semantically structured tables for contextually richer queries and information discovery

BI Solution Architect

Naktuinbouw, Roelofarendsveen, Netherlands | June 2020 - October 2021

At Naktuinbouw (SME), I helped define and implement a modern data strategy, which represented an important step in how the organization manages and reuses data. In close collaboration with the data architect, information manager, and business analyst, I provided both strategic and technical input for the design of a new data platform, based on Microsoft SQL Server, Power BI, and DataVault Builder.

My focus was on aligning the data model with actual business processes. This made the data warehouse more relevant, maintainable, and future-proof. I helped set up the technical foundation, realized the first cross-departmental data products, and ensured the platform remained aligned with organizational priorities.

In addition to the platform itself, I also helped structure the delivery process, using Azure DevOps and the Scaled Agile Framework (SAFe), enabling smoother development and rollout of insights within teams.

Skills & Technologies Applied

• Data strategy & architecture: Strategic design of modern data platforms, alignment of business modeling with data structures, and application of the Data Vault methodology for scalable modeling.
• Platform implementation: Setup and configuration of Microsoft SQL Server, DataVault Builder, and Power BI for reporting and analysis.
• Agile delivery: Application of Scaled Agile Framework (SAFe) and use of Azure DevOps for structuring team workflows and backlog management.
• Stakeholder collaboration: Alignment with various departments to translate information needs into usable data products and support knowledge transfer within the organization.

Data Architect

MN, Den Haag, Netherlands | December 2019 - May 2020

At MN Vermogensbeheer, I contributed to the architecture and strategic direction of the Data Hub platform, which was intended to enable secure, scalable, and well-managed data exchange within the organization. In close collaboration with key stakeholders, I helped shape the vision for the platform, where technical choices were aligned with business needs and long-term data objectives.

My work focused on defining architecture principles, advising on integration patterns, and supporting the setup of fundamental best practices for further platform development.

Skills & Technologies Applied

• Platform architecture: Strategic design advice for a central data exchange platform, with attention to scalability and governance.
• Enterprise-level collaboration: Promoting alignment between business stakeholders and IT on data sharing and platform integration.
• Modern data infrastructure: Experience with Snowflake, Kubernetes, data governance concepts, and architecture modeling.

Data Architect

VolkerWessels Infrastructuur, Vianen, Netherlands | May 2017 - December 2019

At VolkerWessels, I led the data architecture to address challenges in a fragmented IT and information landscape. In close collaboration with the business, I mapped data needs and designed a modern data warehouse that aligned with VolkerWessels’ data maturity roadmap. The solution was based on Data Vault modeling and automation, combined with CI/CD practices, and resulted in a scalable and maintainable architecture.

In addition to the technical design, I contributed to setting up a Business Intelligence Competence Center (BICC) within the IT department. I defined core processes for data management and supported Agile working methods. I also developed dashboards that provided insights into financial administration, liquidity, billability, and project results — enabling better operational and strategic decision-making.

Skills & Technologies Applied

• Data architecture & automation: Data Vault modeling and automation, metadata-driven design, and CI/CD implementation for data pipelines.
• BI strategy & governance: Setup of the BICC, definition of data management processes, and support of Agile working methods.
• Platform & tools: Azure, Azure SQL Database, Azure SQL Data Warehouse, Azure Analysis Services, Power BI.
• DevOps & engineering: Azure DevOps, Visual Studio, version control, and automated delivery pipelines.
• Stakeholder collaboration: Together with the business, developed dashboards that provide usable insights and directly contribute to decision-making.

Senior BI Consultant

Accenture, Almere, Netherlands | August 2011 - February 2017

At Accenture, I worked on diverse large-scale projects in data architecture, BI, and data migration within sectors such as telecom, government, utilities, and chemicals. My responsibilities included leading project teams, designing platform architectures, and delivering end-to-end BI and data solutions. In parallel, I helped build internal capabilities, including setting up the Data Science team, mentoring junior staff, and coordinating internships within the digital cluster.

Internal Contributions at Accenture

• Co-founder of the Data Science team: responsible for recruitment, capability building, and team development.
• Participant in the Technology Delivery Talent Program: focused on developing future leaders within Accenture.
• Mentoring of junior consultants and coordination of internships to support internal talent development.

Selected Projects

• Tax Authority: Design and implementation of a BI platform for the call center with Teradata and SAS Visual Analytics, automating operational reports and creating better insights.
• Arcadis: Improvement of the OBIEE RPD and development of self-service BI reports (P&L, billability) within the context of Oracle E-Business Suite.
• KPN: Led a migration of 1.9 million broadband customers and Scrum Master for the implementation of campaign tooling, using Informatica PowerCenter and Agile methodology.
• BASF: Design and realization of regional data transformations for a pricing system, using Oracle Warehouse Builder and dimensional modeling.
• Gasterra: Development of ETL processes for the data warehouse of a large-scale ERP implementation — my first practical experience in BI.
• Internship at Accenture Technology Solutions: Research into the market for predictive analytics and development of a demo environment in SAS, linking business analysis with technical exploration.

Applied Skills & Technologies

• Data Platforms & BI: OBIEE (RPD & reports), SAS Visual Analytics, Teradata, Oracle Warehouse Builder, Oracle E-Business Suite.
• ETL & Integration: Informatica PowerCenter, Oracle Data Integrator, custom ETL.
• Data architecture & modeling: Dimensional modeling, migration strategies, semantic layer design.
• Delivery & leadership: Agile/Scrum (Scrum Master), stakeholder management, collaboration with multiple vendors.
• Tools & platforms: SAS, Oracle, Visual Studio, Agile project tooling.

Education and Certifications

HBO-I Bachelor of Science, ICT

Fontys University of Applied Sciences | January 2008 - December 2011

MBO, ICT Administrator Level 4

ROC De Leijgraaf | September 2004 - December 2008

VMBO, Theoretical Track

Udens College | September 1999 - August 2004

Certifications

• SnowPro Core Certification | July 2024
• Certified SAFe® 5 Agilist | May 2020
• Professional Scrum Master 1 (PSM 1) | May 2015
• ITIL Foundation | June 2008

Skills

Publications & Speaking

Blog Posts & Articles:

• “The Role of the Data Architect in Modern Organizations” - Activate Consulting Blog
• “Data Management: The Key to Successful Growth” - Activate Consulting Blog
• “Why Your Business Needs a Data Strategy” - Activate Consulting Blog

Languages

• Dutch: Native
• English: Fluent

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