Building Structured Solutions
for Data Challenges
Our practice focuses on creating practical data architectures that address real business needs while maintaining technical rigor and long-term sustainability.
Return HomeOur Story
ArchData was established in 2010 by a group of data architects who recognized the growing complexity of enterprise data landscapes. Based in Limassol, Cyprus, we have grown from a small consultancy to a recognized provider of data architecture services across the Mediterranean region and beyond.
Our founding principle remains unchanged: data architecture should serve business objectives rather than existing for its own sake. We believe that effective architectures balance technical sophistication with practical implementation constraints. This philosophy guides every engagement we undertake.
Over the years, we have worked with organizations across multiple sectors including financial services, telecommunications, healthcare, and government. Each project has contributed to our understanding of how data architectures function in different organizational contexts. We apply these insights to help clients avoid common pitfalls and make informed technology decisions.
Our Cyprus location provides us with unique perspectives on both European and Middle Eastern data management practices. This geographical position has enabled us to work with diverse regulatory frameworks and business cultures, broadening our technical capabilities and understanding of regional requirements.
Our Mission
To design data architectures that enable organizations to leverage their information assets effectively while maintaining flexibility for future evolution.
Technical Excellence
We maintain high standards for architecture design, documentation, and implementation guidance. Our work reflects current best practices and established patterns.
Pragmatic Approach
We prioritize solutions that can be implemented within real-world constraints of budget, timeline, and organizational capability. Theory must translate to practice.
Knowledge Transfer
We invest time in explaining our design decisions and training client teams. Sustainable architectures require internal understanding and ownership.
Our Methodology
We follow structured processes that have been refined through numerous engagements across different industries and technical environments.
Assessment Phase
We begin by documenting current state architectures, identifying existing data flows, storage systems, and integration patterns. This assessment includes interviews with stakeholders, review of technical documentation, and analysis of system performance metrics. We evaluate alignment between current capabilities and business requirements.
Design Phase
Based on assessment findings, we develop future state architectures that address identified gaps and support strategic objectives. Designs include conceptual models showing major components and relationships, logical models defining data structures and flows, and physical implementations for specific technology platforms.
Documentation Phase
We produce comprehensive documentation including architecture principles, design decisions and rationale, implementation guidelines, and operational procedures. Documentation uses standard notations and includes diagrams at multiple levels of abstraction. Version control ensures documentation remains current as systems evolve.
Implementation Support
During implementation, we provide guidance to development teams, clarify design intent, and help resolve technical challenges. We review code and configurations to ensure consistency with architectural decisions. Regular checkpoint reviews verify that implementation remains aligned with documented architecture.
Evidence-Based Approach
Industry Standards
We apply established frameworks such as TOGAF for enterprise architecture, DAMA-DMBOK for data management, and industry-specific standards where applicable. These frameworks provide proven structure and common terminology.
Design Patterns
Our architectures incorporate recognized design patterns for data integration, storage optimization, and system connectivity. Using proven patterns reduces risk and accelerates implementation while ensuring maintainability.
Performance Testing
We validate architectural decisions through testing under realistic workloads. Performance benchmarks guide technology selection and configuration. Testing identifies bottlenecks before they impact production systems.
Our Team
Our architects bring diverse backgrounds and specialized expertise to every engagement. Each team member contributes unique perspectives shaped by their experience across different industries and technical domains.
Eleni Constantinou
Lead Enterprise Architect
Eleni specializes in designing large-scale data architectures for financial services and telecommunications sectors. She holds TOGAF and AWS certifications and has led architecture initiatives for organizations across three continents. Her expertise includes cloud migration strategies and data governance frameworks.
Andreas Kyriakou
Senior Data Architect
Andreas focuses on data modeling and database optimization. His background includes extensive work with both relational and NoSQL databases across healthcare and government sectors. He develops dimensional models for analytics platforms and implements master data management solutions.
Stavroula Ioannou
Integration Architect
Stavroula designs integration architectures that connect disparate systems while maintaining data quality and consistency. Her expertise includes API design, event-driven architectures, and real-time data streaming. She works extensively with microservices patterns and distributed systems.
Company Values
Technical Rigor
We maintain high standards for architecture quality, documentation completeness, and design consistency. Our work reflects professional engineering discipline.
Client Focus
We align our recommendations with client objectives and constraints. Solutions must serve business needs rather than demonstrating technical sophistication for its own sake.
Continuous Learning
Data technologies evolve rapidly. We invest in ongoing education, maintain active certifications, and participate in professional communities to stay current with industry developments.
Transparency
We communicate clearly about what can be achieved within given constraints. Our proposals include realistic timelines, potential risks, and dependencies that may affect implementation.
Areas of Expertise
Enterprise Data Architecture
Comprehensive architecture design encompassing data storage, integration, governance, and security. We create roadmaps for architectural transformation and modernization initiatives.
Database Design and Optimization
Data modeling across conceptual, logical, and physical levels. Performance tuning for both transactional and analytical workloads. Migration strategies for database platform changes.
Data Governance and Quality
Framework development for data stewardship, quality management, and compliance. Master data management implementation. Metadata management and data lineage tracking.
Cloud Data Architecture
Architecture design for cloud platforms including AWS, Azure, and Google Cloud. Hybrid and multi-cloud strategies. Cloud migration planning and execution support.
Real-Time Data Processing
Event-driven architectures and streaming data platforms. Integration of real-time and batch processing. Message queue and event bus design.
Discuss Your Architecture Needs
We welcome inquiries about data architecture challenges. Contact us to explore how our methodologies and experience might benefit your organization.
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