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+)