Data Solution Architect
1 week ago
**Job Summary**:
**Job Type**
**Seniority**
**Years of Experience**
Information not provided
**Tech Stacks**
Analytics
We are looking for Solution Architects any level for data-driven projects. Together we design and drive lots of solutions which generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. Set of used technologies is very wide, so any technology background of the Solution Architect is acceptable. We provide a solid architecture framework, educational programs, and strong SA community to support you in a deep dive to data domain RESPONSIBILITIES - Design and evolve large-scale data-driven solutions - Drive direct communications with business stakeholders - Elaborate on all technical aspects for the development team, 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 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 platfrom 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 of 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 - Good communication skills
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