Role & Focus
Our Data Solution Architects operate at the intersection of architecture, data engineering, cloud technologies and business strategy.
Their focus is not on individual technical components, but on designing integrated data solutions that enable organisations to make reliable decisions, innovate with confidence and scale effectively.
The role focuses on:
- Designing scalable data and AI architectures aligned with business objectives
- Defining integration architectures, data storage strategies and data flows across complex ecosystems
- Bridging business objectives and technical solution design
- Defining architectural direction for cloud, governance, scalability and performance
- Structuring data platforms to support analytics, AI and operational processes
- Ensuring architectural consistency, quality and long-term sustainability across the technology landscape
- Supporting delivery teams with implementation guidance and technical decision-making
Where This Role Adds Value
This role becomes particularly relevant as data environments grow in complexity and organisations require greater direction, standardisation and scalability.
Typical situations include:
- The data landscape consists of multiple disconnected systems and platforms
- Teams are building solutions without clear architectural principles or governance frameworks
- Integrations and data pipelines are becoming increasingly difficult to manage and maintain
- Growth in data volumes, users or AI use cases is creating performance, scalability or stability challenges
- Cloud, data and AI decisions lack overall alignment and strategic direction
- There is a need for governance and control without slowing down innovation
- Organisations want to move beyond isolated initiatives and build a sustainable data foundation for the future
What You Can Expect from Full Orbit
Our Data Solution Architects:
- Combine strategic architectural thinking with deep technical expertise
- Understand both business processes and modern data ecosystems
- Bring structure and direction to complex environments
- Communicate effectively across management, engineering teams and business stakeholders
- Take a pragmatic and future-oriented approach
- Make technology decisions that support scalability, maintainability and business value
- Ensure alignment across data, AI, cloud and integration domains
We do not provide theoretical architects. Instead, we carefully select experienced specialists who not only define the direction, but also help turn architecture into reality.
Technology Landscape
Our Data Solution Architects operate across modern data and cloud environments, including:
- Cloud platforms: Azure, AWS, OCI
- Data platforms: Databricks, Snowflake, Microsoft Fabric
- Integration & orchestration: Airflow, dbt, Kafka
- Data storage & databases: PostgreSQL, SQL Server, Data Lakes
- AI & analytics tooling: OpenAI, Power BI, Tableau
- Containerisation & deployment: Kubernetes, Docker
- Programming Languages: Python, SQL
Technology is always applied in service of a coherent, scalable and future-proof data architecture.
How We Work
- A clear intake focused on your architectural challenges, organisational context and stage of growth
- Selection based on seniority, communication skills and technical vision
- A focus on architects who can bridge strategy and execution
- Flexible engagement models aligned with your organisation, objectives and roadmap
Our goal is simple: to place the right specialist in the right role within a short timeframe.
Looking for a Data Solution Architect Who Brings Direction and Alignment?
We ensure you quickly gain access to a senior architect who can transform complex data and AI landscapes into scalable, manageable and future-proof solutions.
