Data Solution Architect​ | f/m/d​

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

About the role

As a Data Solution Architect, you will define and implement the architecture, standards, and best practices for scalable Data Hubs that support analytical, reporting, operational, and Generative AI use cases. This role requires strategic thinking, deep technical expertise, and the ability to guide engineers, shape data governance, and ensure system scalability and performance. 

A great opportunity for an experienced architect to set the direction for modern data platforms. Join us! 

How you will get the job done

• designing and overseeing the implementation of scalable, efficient data models integrating multiple sources in the form of Data Hub
• defining patterns, templates, and best practices for data engineering
• establishing data governance, access policies, and security frameworks for data layer / Data Hubs
• ensuring efficient storage, retrieval, and processing of large-scale datasets
• preparing solutions for streaming and batch data ingestion, transformation, and updating models
• implementing automated data validation, anomaly detection, and proactive issue resolution
• working with engineers, analysts, and AI/ML teams to align architecture with business needs
• maintaining comprehensive architecture documentation and mentoring engineers

Skills and experience you will need

• fluency in English
• strong expertise in Azure-based data platforms and Databricks
• deep knowledge of Databricks (primary tool), Delta Lake, Apache Spark
• experience with dimensional, relational, and NoSQL models
• strong background in data policies, lineage, and compliance
• proficiency with Data Factory, ADLS, Synapse, Azure SQL, Event Hubs
• experience with CI/CD, Terraform, Kubernetes/AKS, Docker
• ability to define strategy, mentor engineers, and drive adoption of best practices
• great ability to create and maintain clear architectural documentation