Data Solution Architect
We are seeking a Data Solution Architect to design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies and machine learning algorithms. In this role, you will be empowering the organization's digital transformation through enterprise data enablement. Responsibilities Address organization business goals and strategy using best practices in business-, enterprise-, solution-, data architectures, as well as in software engineering Analyze business problems and technology landscape, identify significant requirements and design solutions Perform hands-on software engineering with creation of data models and code review Build data management environments (data platforms), where data and AI products can be produced and hosted, both on-premises and in the cloud, considering security, compliance and regulatory limitations Report data flow, data quality metrics and operational statuses Guide team efforts in integration and harmonization of data from different sources, building analytical data tools Manage data products life cycle end-to-end, ensuring their data quality, security and privacy Drive data technology consulting services, helping clients shape a vision of the solution and make decisions under uncertainty Requirements 7+ years of experience in solution architecture, engineering, 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.) 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 re-platforming 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.) Solid background in all phases of the software development life cycle using different development methodologies and best practices Well-developed communication and presentation skills C1+ English level