Cloud Architect – Data, Azure, Power BI Solution Expert

🕒 June 4

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Deutsche Telekom IT Solutions Slovakia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📡 Telecommunications

☁️ SaaS

📚 Education

Telecommunications • SaaS • Education

Deutsche Telekom IT Solutions Slovakia is a leading partner in information and communication technologies, focusing on providing innovative IT services and solutions. Operating since 2006, the company has grown to be one of the largest employers in Eastern Slovakia, delivering business solutions, smart applications, communication services, shared infrastructure, and security. Committed to continuous digitalization, Deutsche Telekom IT Solutions Slovakia supports the creation of new technologies and processes, offering IT outsourcing, and infrastructure services to major organizations worldwide. The company is also recognized for its dedication to education, employee training, and community involvement, aiming to build a modern society through lifelong learning and innovative projects.

📋 Description

• Design and evolve the enterprise Azure Lakehouse architecture, ensuring scalability, performance, and long-term sustainability. • Lead the transformation of classic Data Warehouse environments into modern Lakehouse and Delta Lake-based architectures. • Take architectural ownership from concept through implementation, production rollout, and continuous optimization. • Define and implement architecture principles, standards, patterns, and best practices for data engineering and analytics platforms. • Design and oversee data ingestion, processing, and streaming pipelines using Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps. • Build and optimize data processing solutions using Delta Lake, Spark, Spark Structured Streaming, SQL, and Python. • Define data modeling strategies across data lake and warehouse layers, applying Kimball, Inmon, and Data Vault methodologies. • Collaborate with engineering teams to implement reference architectures, prototypes, and proof-of-concepts. • Enable and coach data engineering teams toward autonomous, high-quality solution development. • Ensure platform designs comply with enterprise security, data protection, and regulatory requirements. • Support advanced analytics, self-service BI, and reporting use cases across the organization. • Work closely with product owners, architects, governance, and business stakeholders in agile delivery environments. • Contribute to continuous improvement of platform architecture, development processes, and operating models.

🎯 Requirements

• have a degree in (Business) Informatics, Business Administration, or equivalent practical experience • have senior-level experience in Data Platform / Lakehouse Architecture – Expert • have 5+ years of hands-on experience in data engineering or data architecture roles • have proven experience transforming traditional Data Warehouse landscapes into Lakehouse / Delta Lake architectures • have strong architectural ownership mindset, covering design, implementation, and production readiness • have deep hands-on experience with Azure Lakehouse technologies – Advanced to Expert • have strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Event Hub, Azure Synapse, and Azure Logic Apps • have advanced skills in Delta Lake, Spark, Spark Structured Streaming, SQL, and Python • have deep understanding of data lake storage architectures and modern data processing paradigms • have solid knowledge of relational and multidimensional databases • have strong experience with data warehouse modeling approaches (Kimball, Inmon, Data Vault) • have experience designing scalable IT platforms, processes, and operating models • have the ability to define architecture principles, standards, and best practices at enterprise level • have experience implementing prototypes, evaluations, and reference solutions • have strong security and compliance awareness, including handling business-critical and personal data in regulated environments • are comfortable working in agile environments using Scrum or Kanban • have an open, communicative working style and enjoy cross-functional collaboration • demonstrate a solution-oriented, analytical, and structured mindset

🏖️ Benefits

• Financial benefits • Benefits with focus on learning and development • Benefits with focus on health and sport • Benefits with focus on family and work – life balance • Other benefits