Deutsche Telekom IT Solutions Slovakia
Information Technology And Services
CloudArchitectData(Azure)–PowerBISolutionExpert(m/f/d)
“Cloud Architect - Data (Azure) – Power BI Solution Expert (m/f/d) at Deutsche Telekom IT Solutions Slovakia. Skills: Azure Lakehouse architecture, Data Engineering, Power BI, Data Platform. Design Azure Lakehouse architecture. Evolve Azure Lakehouse architecture”
Industry & Context.
Analytical mindset
What They're Looking For.
Must Have
Degree in Informatics or Business Administration, Senior-level experience in Data Platform / Lakehouse Architecture, 5+ years of experience in data engineering or data architecture, Proven experience transforming Data Warehouse to Lakehouse / Delta Lake, Architectural ownership mindset, Deep hands-on experience with Azure Lakehouse technologies, Expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Event Hub, Azure Synapse, Azure Logic Apps, Advanced skills in Delta Lake, Spark, Spark Structured Streaming, SQL, Python, Deep understanding of data lake storage architectures, Solid knowledge of relational and multidimensional databases, Experience with data warehouse modeling approaches, Experience designing scalable IT platforms, processes, and operating models, Ability to define architecture principles, standards, and best practices, Experience implementing prototypes, evaluations, and reference solutions, Security and compliance awareness, Comfortable working in agile environments
Nice to Have
Experience with Reporting, Analytics, and Dashboarding solutions, Hands-on experience with Power BI development, Exposure to Microsoft Power Platform, Azure certifications
What You'll Do.
Design Azure Lakehouse architecture
Evolve Azure Lakehouse architecture
Govern Azure Lakehouse architecture
Lead Data Warehouse transformation
Take architectural ownership
Define architecture principles
Implement architecture standards
Define architecture patterns
Implement architecture best practices
Design data ingestion pipelines
Design data processing pipelines
Design data streaming pipelines
Build data processing solutions
Optimize data processing solutions
Define data modeling strategies
Apply Kimball methodology
Apply Inmon methodology
Apply Data Vault methodology
Collaborate with engineering teams
Implement reference architectures
Implement proof-of-concepts
Enable data engineering teams
Coach data engineering teams
Ensure platform designs comply with security
Ensure platform designs comply with data protection
Ensure platform designs comply with regulatory requirements
Support advanced analytics use cases
Support self-service BI use cases
Support reporting use cases
Work closely with product owners
Work closely with architects
Work closely with governance
Work closely with business stakeholders
Contribute to platform architecture improvement
Contribute to development process improvement
Contribute to operating model improvement
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Agile delivery environments; International engineering units
Process & Methodology
Agile, Scrum, Kanban
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