Data Solution Architect

Responsibilities

• Address organization business goals and strategy using best practices in data, solution, enterprise, and business architectures, as well as in software engineering
• Conduct various architectural activities, including analyzing business problems and technology landscape, identifying significant requirements, designing a solution and creating corresponding artifacts
• Perform hands-on software engineering activities, i.e., write code and create data models in primary technology stacks, read/understand code and data models for non-primary technology stacks, apply software design patterns and practices
• Build data management environments (data platforms), where data and AI products can be produced and hosted, both on premise and in the cloud, considering security, compliance and regulatory limitations, including automation and operational components, monitoring, platform orchestration, batch and streaming data…
• Guide implementation team efforts in integration and harmonization of data from different sources, building analytical data products (including real-time streaming analytical data products) on its basis within the data platform, as well as managing data products life cycle end-to-end, ensuring their data quality,…
• Drive data technology consulting services, helping clients to shape a vision of the solution and make decisions under uncertainty

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