Data Solution Architect
We are seeking a Solution Architect at any career level to collaborate on data-driven projects. Together, we design and deliver solutions that derive actionable insights from data, leveraging scalable platforms, innovative technologies, and machine learning algorithms.
The range of technologies we use is broad, allowing for flexibility in the Solution Architect's technical background. We offer a solid architecture framework, extensive educational resources, and a supportive Solution Architect community to help deepen expertise in the data domain.
Responsibilities
- Communicate directly with business stakeholders to understand goals and needs
- Explain all technical aspects to the development team and justify architectural decisions
- Oversee the implementation of solutions, beginning with defining project requirements and progressing to solution delivery
- Develop and present detailed solution architecture documentation to customers and implementation teams
- Contribute to pre-sale activities throughout the entire pre-sales lifecycle
- Assess and evaluate solution architectures for compliance and viability
- Explore emerging technologies and actively participate in company knowledge-sharing initiatives and training programs
Requirements
- Production experience in requirements engineering, solution architecture, systems development, deployment, and maintenance
- Knowledge of architecture, design patterns, and technologies spanning at least three domains (e.g., Data Platforms, IoT, Machine Learning, Backend, Mobile, etc.)
- Expertise in the internal workings of at least one specific technology domain
- Understanding of core concepts in data and analytics platform design, including data warehousing, business intelligence, data management, integration, security, and operations
- Competency in designing, implementing, deploying, troubleshooting, and re-platforming distributed systems both on-premises and in the Cloud
- Structured knowledge of the complete architectural design process, including requirements gathering, quality attributes, technology selection, estimation, proposal validation, and documentation
- Background in all phases of the software development lifecycle using varied methodologies and best practices
- Highly organized with strong attention to detail
- Good interpersonal competence for effective communication
- Upper-intermediate proficiency in English (B2+)
