Position: Azure Data Architect
Company: Avenga
Category: Data Science
Experience required: 3y
English level: fluent
Published: 2021-03-01T00:00:00+02:00

**Skills and Qualifications** :
Expert knowledge and passion in most of the following technologies: Synapse, Purview, Azure Data Lake, Data Factory, Databricks, Data Warehouse Modeling, Power BI, Azure IoT;
Experience with enterprise-scale data warehouse projects, RDMS Database systems, ETL Technologies, and techniques;
Ability to appropriately architect complex data solutions utilizing SQL Server architecture. This includes storage, replication, server tuning, upgrading, backup/restore, security, etc;
Knowledge of Azure and on-premises Analysis Services, tabular and multidimensional;
Proficient with at least one of the following programming languages: Python, C#, PowerShell;
Expert in SQL and DAX;
Spark experience is preferred but not required;
Basic understanding of data science methodologies and how to apply them to solve business problems;
Working knowledge of DevOps processes (CI/CD) applied to data projects. Experience with Azure DevOps is required;
Ability to articulate concepts to people with a varying technical background.

**Responsibilities** :
Lead Microsoft data analytics projects from architecture design to exceptional implementation;
Drive growth through business development, resourcing, & quality delivery;
This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals;
Create proposals and SOWs;
Manage full project delivery cycles, end-to-end, for high potential clients;
Help with planning and staffing for data projects;
Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations;
Anticipate the impact of new technologies and frameworks and help create compelling data offerings to our clients.

**We Offer** :
- New office with areas for recreation, well-staffed kitchen facilities, shower, covered bike parking;
- Compensation of medical service;
- Sport compensation: gym-membership reimbursement, small gym on-site;
- Language school;
- Compensation of training: our employees can participate in the training given by external and internal experts;
- PE accounting and support;
- Free fruits and sweets.