Your responsibilities include:
• Building solutions that combine data from multiple sources to support processes using the latest Azure technology stack.

• Supporting team members with technical issues, platform administration, and access rights.

• Understanding business targets, challenging choices and roadmaps, prioritizing needs based on technical capabilities, and designing target architectures.

• Acting as a data and cloud expert, sharing your knowledge with other architects, business stakeholders, and platform experts.

• Developing data architecture with a solid understanding of data domain, data modeling, quality, and sensitive data protection topics.

• Documenting technical and architectural specifications and providing architectural advice in collaboration with business analysts.

Responsibilities:

• Act as an architect in data projects.

• Assist in creating Business Use Cases for several reporting projects.

• Define architecture of data management and advanced analytics solutions in the Azure cloud.

• Ensure solution compliance with frameworks and standards.

• Develop documentation of system components following obligatory standards.

• Support IT team in technical implementation, testing, application deployment, and knowledge transfer to the IT support.

• Collaborate closely with business stakeholders to ensure the high quality of the final product.

Requirements:
• Master’s degree in Computer Science or related field

• 5+ years of experience in Data Architecture & Engineering

• Experience with business intelligence, data analysis, and reporting in enterprise environments

• Experience in design, development, and implementation of solutions architecture on the Microsoft Azure platform

• Good understanding of data security topics, from networking layer to the end user interface

• Working experience with Azure Databricks (administration and data engineering) and Azure Data Factory

• Good understanding of Azure services (SQL database, administration, IAM, Data Lake)

• Familiarity with data visualization tools (Power BI, Qlik) is a plus

• Experience with agile project delivery methodologies (Scrum, Kanban)(optional : • Generative AI Fundamentals/Basics: Understanding of how AI models are trained to generate data (e.g., text, images) and their practical applications in cloud environments. Familiar with RAG pattern)

Soft Skills:

• Excellent communication skills

• Ability to understand business stakeholders and the business landscape

• Ability to challenge decisions made by the platform or other architects

• Strong analytical, organizational, problem-solving, and time-management skills

• Comfortable working in a diverse, complex, and fast-changing landscape of data sources

• Proactive problem solver with innovative thinking and a strong team player

• Fluent in English (C1)

Seniority of the consultant: Senior: 5-10 years of experience.

Required skills:

• Azure
• Databricks
• Data Analysis
• Azure DataFactory
• Preferred skills
• Power BI
• Qlik

Languages:

• English (Proficient)