Senior Solution/Data Architect

Summary

Join QUALCO, a leading Fintech solutions provider, as a Senior Solution/Data Architect. You will design and architect end-to-end data and AI solutions on Azure or hybrid environments, ensuring alignment with business and technical needs. Responsibilities include designing data architectures, leading data platform design, collaborating with various teams, providing technical guidance, and ensuring compliance. The role requires a university degree, 8+ years of experience in solution/data architecture with strong AI, data engineering, and cloud expertise, and at least 3 years of hands-on Azure experience. Additional certifications are preferred. QUALCO offers competitive compensation, benefits including health insurance, flexible working, and professional development opportunities.

Requirements

• 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. This includes experience with Azure infrastructure, such as virtual machines, storage, networking, and security, as well as experience with Azure services, such as Azure SQL Database, Azure App Service, Azure Functions, and Azure Cognitive Service
• Hands-on experience with Azure services (e.g., Azure ML, Azure Databricks, Azure Functions, Azure SQL, AKS) and their counterparts in open-source environments
• 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)
• Understanding of data governance standards and compliance (GDPR, HIPAA, ISO 27001)
• Familiarity with Infrastructure-as-Code (IaC) and relevant tools (e.g., Azure Resource Manager, Terraform, Ansible) for data platform provisioning
• Knowledge and experience in architecture design tools (e.g., Visio, Sparx EA) and modeling notation (e.g., Azure architecture icon library, ArchiMate, UML, C4 model)
• Experience using Agile software development methodologies (i.e., Kanban, Scrum, and other lean techniques)
• 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/multicultural environment
• Excellent knowledge of the English language (written and verbal)

Responsibilities

• 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 robust, scalable, and secure 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 (ETL/ELT pipelines)
• 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 SQL, Event Grid, and Azure Functions
• Collaborate with AI/ML teams to enable data readiness for training, validation, and deployment of models
• Provide guidance on best practices for deploying AI and data pipelines within the Azure ecosystem
• Enable and promote the use of metadata management, data cataloging, and master data management (MDM)
• Ensure compliance with data governance policies and the integration of security measures across the architecture
• Lead technical discussions with stakeholders to ensure that all requirements are understood and met
• Support infrastructure teams in defining storage, compute, and network requirements for the data platform
• Provide technical guidance and mentorship to developers and junior members of the team
• Create and maintain technical documents describing the system architecture and its infrastructure

Preferred Qualifications

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• TOGAF or DAMA certification (e.g., CDMP)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft cybersecurity architect Expert
• Microsoft Certified: DevOps Engineer Expert
• AWS Certified Solutions Architect – Professional
• Google Cloud Professional Cloud Architect

Benefits

• Competitive compensation, ticket restaurant card, and annual bonus programs
• Cutting-edge IT equipment, mobile and data plan
• Modern facilities, free coffee and beverages, indoor parking, and company bus
• Private health insurance, onsite occupational doctor, and workplace counselor
• Flexible working model, hybrid/remote benefits & home equipment benefits
• Onsite gym, wellness facilities, and ping pong room
• Career and talent development tools
• Mentoring, coaching, and personalized annual learning and development plan
• Employee referral bonus, regular well-being, ESG, and volunteering activities