Data Solution Architect

We are looking for a Data Solution Architect to join our team in Croatia who is passionate about the future trends of data practice and dares to design and deliver unusual solutions for known or so far unknown challenges.

This position requires a strong technical, business and data background, experience in working with cross-functional teams in an international context.

Responsibilities

• Design and evolve large-scale data-driven solutions
• Drive direct communications with business stakeholders
• Elaborate on all technical aspects for the development team and provide justification for any architectural decision
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Create and present solution architecture documentation with deep technical details to the customer and implementation teams
• Participate in the full cycle of pre-sale activities
• Lead solution architecture evaluation and assessment activities
• Continuously research emerging technologies, participate in company-level knowledge sharing initiatives, PoCs and training programs

Requirements

• Experience in requirements engineering, solution architecture, systems development, deployment, and maintenance
• Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)
• Profound knowledge of the technology’s internals for at least 1 technology domain
• Solid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security, and operations areas
• Wide experience in design, implementation, deployment, troubleshooting and replatforming of distributed systems both on premises and in the Cloud
• Structured and systematic knowledge of the entire architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.)
• Experience in all phases of the software development life cycle using different development methodologies and best practices
• Highly organized and detail-oriented
• Effective communication skills
• Fluent English