DATA ARCHITECT / DATA OFFICER_L4

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.

• 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 from networking layer to 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)
• Experience with agile project delivery methodologies (Scrum, Kanban)
• SQL and Python programming skills

Nice to have:

• Fluent in English (C1)

• Building solutions combining data from multiple sources 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 knowledge with architects, data engineers, business stakeholders, and platform experts
• Developing data architecture with focus on data domain, modeling, quality, and sensitive data protection
• Documenting technical and architectural specifications and providing architectural advice
• Acting as an architect in data projects
• Assisting in creating Business Use Cases for reporting projects
• Defining architecture of data management and advanced analytics solutions in the Azure cloud
• Ensuring solution compliance with client’s frameworks and standards
• Developing documentation of system components following obligatory standards
• Supporting IT team in technical implementation, testing, deployment, and knowledge transfer
• Collaborating closely with business stakeholders to ensure product quality
• Code review and quality assurance
• Maintenance of Azure data relevant resources