Senior Azure Data Architect @
2 weeks ago
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)
We are seeking a Senior Azure Data Architect to join our Data team. You will ensure the adoption of the group Data Platform and create cloud data solutions.
Your responsibilities include:
- Building solutions that combine data from multiple sources to support our Company 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.
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