Senior Solutions Architect – Data & Cloud

About the role

We are seeking a highly experienced Senior Solutions Architect to lead the design, development, and deployment of scalable cloud, data, and backend solutions. The role bridges data engineering, architecture, and business strategy, translating client and internal needs into robust technical implementations.

Key responsibilities

• Collaborate with Sales, Operations, Accounting, and external clients to gather business requirements and produce technical specifications, architecture diagrams, and implementation plans.
• Design end‑to‑end architectures across data platforms, APIs, microservices, event‑driven systems, and Azure cloud infrastructure.
• Develop and maintain enterprise‑grade data pipelines using Databricks, PySpark, Delta Lake, and Unity Catalog.
• Build backend services and APIs with Python (FastAPI) and write production‑ready SQL and Python scripts for data processing and automation.
• Architect, deploy, and manage cloud‑native solutions on Microsoft Azure, including Container Apps, Container Registry, Azure SQL, Blob Storage, and Functions.
• Create integrations with SaaS platforms, third‑party APIs, and logistics technologies, ensuring data consistency across distributed environments.
• Design scalable data models, support BI initiatives, and promote data governance and quality.

Required profile

• Proven senior‑level experience in data engineering, solutions architecture, and cloud infrastructure.
• Strong ability to translate business objectives into technical solutions and lead projects from design through production.
• Excellent problem‑solving skills with a focus on performance, scalability, security, and cost optimization.

Required skills

• Python (FastAPI)
• SQL
• Databricks, PySpark, Delta Lake, Unity Catalog
• Microsoft Azure services: Container Apps, Container Registry, Azure SQL, Blob Storage, Functions
• Microservices, event‑driven architecture, API design
• Data modeling and business intelligence reporting