
Data Solutions Architect
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Design and architect end-to-end data and AI solutions across Azure or hybrid environments, ensuring alignment with business and technical requirements.
- Design, implement and govern scalable data architectures for AI-driven services and analytics platforms.
- Define and maintain the overall data architecture strategy, including data models, data flows, metadata management, and integration architectures.
- Design modern data platforms supporting structured and unstructured data, leveraging data lakes, lakehouses and warehouses.
- Lead the design of data storage, ingestion, transformation, and serving layers.
- Collaborate with business, development and data teams to define the cloud architecture of AI solutions and machine learning models (e.g., deep learning, NLP, computer vision).
- Oversee the integration of various Azure services such as Azure Databricks, Azure Fabric.
- Collaborate with AI/ML teams to enable data readiness for training, validation, and deployment of models.
- Enable and promote the use of metadata management, data cataloging, and master data management (MDM).
- Lead technical discussions with stakeholders to ensure that all requirements are understood and met.
- Provide technical guidance and mentorship to developers and junior members of the team.
- Create and maintain technical documents describing the data platforms’ architecture and its infrastructure.
- A University degree in Computer Science, Engineering, or a relevant discipline.
- 8+ years of experience in solution/data architecture, with strong expertise in AI, data engineering and cloud technologies.
- Minimum of 3 years of hands-on experience architecting and implementing scalable, secure, and cost-effective Azure solutions.
- Hands-on experience with Azure services (e.g., Azure Fabric, Azure Data Factory, Azure ML, Azure Databricks, Azure Functions).
- Strong experience with data lake/data warehouse design, metadata management, and ETL/ELT architectures.
- Expertise in Azure data services (e.g., Azure SQL, Synapse Analytics, Azure Data Lake Storage, Azure Databricks).
- Experience with data governance tools (e.g., Microsoft Purview).
- Experience working with both technical and non-technical stakeholders, capable of communicating complex technical concepts clearly and concisely.
- Excellent written and verbal communication skills.
- Experience and willingness to work in an international environment.
- Relevant Technical certifications (i.e. Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional, GCP Professional Cloud Architect).
- People-first approach and open environment to express your ideas
- Work-life balance and a hybrid work model
- Continuous training and development
- Opportunities to join innovation initiatives
- Ticket restaurant – meal vouchers
- Corporate laptop and equipment
- Corporate mobile phone subscription
- Health and insurance plan for you and your family members
- Employee consulting and guidance support by Ergonomia
- Discounts on the services and products of our Group’s companies
- Gift vouchers for major life milestones
- Special work schedule on summer Fridays and birthdays