Cloud Architect – Data, Azure, Power BI Solution Expert

Role Overview

• 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

Tech Stack

• Azure
• Python
• Spark
• SQL
• Vault

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