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Cloud Architect - Data (Azure) – Power BI Solution Specialist

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

What You Need to ExcelA degree in (Business) Informatics, Business Administration, or related practical experience. Extensive experience in Data Platform / Lakehouse Architecture – Expert level. Over 5 years of hands-on experience in data engineering or data architecture roles. Demonstrated ability to transition traditional Data Warehouse structures into Lakehouse / Delta Lake architectures. A strong architectural ownership mentality, covering design, implementation, and production readiness. In-depth practical experience with Azure Lakehouse technologies – Advanced to Expert level. Proven expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Event Hub, Azure Synapse, and Azure Logic Apps. Advanced proficiency in Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.

About the job

As a Senior Data Analytics & Data Engineering Architect, you will play an integral role within the Common Data Intelligence (CDI) Hub. Your primary responsibility will be to design, evolve, and oversee T-Systems’ central Azure Lakehouse architecture. This position emphasizes the transition from traditional data warehouse frameworks to modern, cloud-based data platforms that facilitate enterprise-level analytics, sophisticated data applications, and self-service business intelligence.

 

Team/Project Overview

The CDI Hub stands as the core data and analytics unit, tasked with establishing and managing comprehensive data platforms and standards across the enterprise. Our interdisciplinary team collaborates with various business sectors and global engineering teams to provide scalable, secure, and future-proof Azure-driven analytics solutions.

 

Your Responsibilities

  • Architect and enhance the enterprise Azure Lakehouse framework to guarantee scalability, performance, and longevity.
  • Lead the modernization of traditional Data Warehouse settings into innovative Lakehouse and Delta Lake architectures.
  • Oversee the architectural process from initial concept through implementation and continuous refinement.
  • Establish and enforce architectural principles, standards, patterns, and best practices for data engineering and analytics platforms.
  • Design and manage data ingestion, processing, and streaming pipelines utilizing Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps.
  • Create and refine data processing solutions leveraging Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.
  • Develop data modeling strategies for both data lake and warehouse layers, implementing Kimball, Inmon, and Data Vault methodologies.
  • Work alongside engineering teams to develop reference architectures, prototypes, and proof-of-concept projects.
  • Empower and mentor data engineering teams in high-quality, autonomous solution development.
  • Ensure that platform designs adhere to enterprise security, data protection, and regulatory standards.
  • Support advanced analytics, self-service BI, and reporting initiatives across the organization.
  • Engage closely with product owners, architects, governance, and business stakeholders in agile environments.
  • Contribute to the ongoing enhancement of platform architecture, development processes, and operational frameworks.

About Deutsche Telekom IT Solutions Slovakia

Deutsche Telekom IT Solutions Slovakia has been a key player in the Košice region since its establishment in 2006, originally as T-Systems Slovakia. As one of the founding members of the Košice IT Valley, we have evolved from a startup to the second largest employer in eastern Slovakia, boasting over 3,900 employees. Our mission is to continuously innovate and transform into a leading provider of advanced information and communication technology services.

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