At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Solutions Architect to join our UniQue BI and Data Warehouse team.
In this role, you will have the opportunity to interact with internal and external stakeholders. You will be responsible for the design and definition of complex IT data-driven solutions based on customer requirements and product provided services.
You will examine functional and technical specifications, shape technology solutions and influence technology choices and decisions to meet the challenges faced by our clients.
What will you be bringing to the team?
Our UniQue people come from a variety of different backgrounds and industries, with different skill sets and approaches, but they have one thing in common: a passion for technology and innovation! For the Data Solutions Architect position we expect you to:
- 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.
