Position: Data Architect with Azure in Data Competence
Company: DataArt
Experience required: 5y
English level: upper

It won't be work only on one project, you will have the opportunity to switch between projects. 75% of activities will be in commercial projects, another 25% are various tasks for developing Data and Analytics competence — from creating and bringing offers related to Azure to the market, maintaining partnerships with MS in the field of D&A, go-to expert-consultant in this specialization for projects, training and development of specialists in this direction.

**Responsibilities:**

— Elicit business needs and requirements, determine the project's scope, team, and timeline;
— Lead the project’s implementation from ideation to completion;
— Technical leadership and coordination of the development activities;
— Designing the technical architecture and validating it with the client;
— Requirements clarification and scope decomposition into technical tasks;
— Code review;
— Serve as a top-level escalation point for technical and process concerns, which may arrive from either the implementation team or client (or both);
— Mentor everyone on your team (including developers, QAs, BAs, PMs, DevOps, business stakeholders, and yourself);
— Read, listen, and learn a lot.

**Requirements:**

— Experience as an Architect/Tech Lead from 2 years in commercial projects;
— Know what a "customer-centric attitude" is;
— Can communicate clearly and consciously – both verbally and in writing;
— Experience with end-to-end implementation (from vision to hand-over to production) of at least 3 medium or large-scale Data Management solutions: DWH/BI/Reporting/Big Data analytics/MDM/Metadata Management;
— 2+ years of hands-on experience with the Azure Data Platform (ADLS gen2, ADF, Databricks, Synapse, Azure SQL Server, Power BI Service/Embedded/Server, Azure Data Explorer/Kusto, Azure Functions, etc.);
— Strong experience in major RDBMS, BigData, and Cloud tech stacks. (Microsoft SQL Server is a must!);
— Hands-on experience with at least one of the mainstream development stacks (Java/.NET/Python etc.);
— Good understanding of architecture principles, platforms, and best-practices;
— You know what's inside TOGAF and DAMA DMBOK;
— Some business analysis skills;
— Experience with customers from small/mid-size businesses.