Responsibilities :
- Designing and developing data solutions that integrate multiple data sources using modern cloud-based technologies, with a focus on the Microsoft Azure ecosystem.
- Providing technical support to team members, including platform administration and managing access controls.
- Understanding business objectives, evaluating proposed solutions and roadmaps, prioritizing requirements based on technical feasibility, and defining target architectures.
- Acting as a subject matter expert in cloud and data architecture, sharing best practices with architects, engineers, analysts, and other stakeholders.
- Creating robust data architecture frameworks, with expertise in data modeling, data governance, data quality, and sensitive data protection.
- Preparing technical and architectural documentation, and advising on best practices in collaboration with analysts and stakeholders.
- Participating as a lead architect in data-driven projects.
- Supporting the development of business use cases for reporting and analytics initiatives.
- Defining architectures for data management and advanced analytics in the Azure cloud environment.
- Ensuring compliance with internal frameworks, technical standards, and best practices.
Requirements :
5+ years of experience in data architecture and data engineering.Proven experience with business intelligence, data analysis, and reporting within large-scale enterprise environments.Strong background in designing and implementing solution architectures using Microsoft Azure services.Solid understanding of data security across the entire stack—from networking to end-user interfaces.Hands-on experience with Azure Databricks (including administration and data engineering) and Azure Data Factory.Good working knowledge of Azure services such as SQL Database, Identity and Access Management, and Data Lake.Familiarity with agile methodologies (Scrum, Kanban).Proficiency in SQL and Python.Responsibilities :
Designing and developing data solutions that integrate multiple data sources using modern cloud-based technologies, with a focus on the Microsoft Azure ecosystem.Providing technical support to team members, including platform administration and managing access controls.Understanding business objectives, evaluating proposed solutions and roadmaps, prioritizing requirements based on technical feasibility, and defining target architectures.Acting as a subject matter expert in cloud and data architecture, sharing best practices with architects, engineers, analysts, and other stakeholders.Creating robust data architecture frameworks, with expertise in data modeling, data governance, data quality, and sensitive data protection.Preparing technical and architectural documentation, and advising on best practices in collaboration with analysts and stakeholders.Participating as a lead architect in data-driven projects.Supporting the development of business use cases for reporting and analytics initiatives.Defining architectures for data management and advanced analytics in the Azure cloud environment.Ensuring compliance with internal frameworks, technical standards, and best practices.Requirements : Azure, Databricks, Python Tools : Jira, GIT, Agile, Scrum. Additionally : Sport subscription, Training budget, Private healthcare, Small teams, International projects.