Data Architect

• Design and architect data solutions for multi-source system integration
• Create scalable datasets supporting analytics and reporting platforms
• Gather business requirements and translate them into technical solutions and specifications
• Design data models, ETL/ELT processes, data warehouse, and data lake solutions
• Ensure scalability, performance, data quality, and validation of data solutions
• Collaborate with business analysts, developers, DBAs, and other stakeholders
• Communicate complex data concepts clearly to non-technical stakeholders
• Support backend development when required
• Document technical solutions and share knowledge within the team
• Contribute to a Data & Analytics project in the agricultural industry

• 4+ years of experience in data architecture, data engineering, or similar roles
• 3+ years of experience working with Azure data platform services
• Strong hands-on experience with Azure SQL Database, including schema design, query optimization, and indexing
• Strong experience with Azure Data Factory (ADF), including pipeline design, triggers, linked services, and data flows
• Experience with Azure Data Lake Storage (ADLS Gen2) and Azure Storage
• Experience with Azure Logic Apps
• Hands-on experience with Azure Databricks, Spark SQL, PySpark, and Delta Lake
• Strong knowledge of data modeling, including dimensional modeling and star schema
• Good understanding of ETL/ELT design patterns and data warehouse/data lake architecture
• Advanced SQL skills, including complex joins, CTEs, query performance tuning, and execution plan analysis
• Experience with multi-source data integration, APIs, data quality, validation, and error-handling approaches
• Understanding of CI/CD, version control (Git), Infrastructure as Code, and Azure security concepts
• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business language
• Strong analytical and problem-solving skills
• Ability to gather and analyze requirements and work effectively in cross-functional teams
• English proficiency at Upper-Intermediate level or higher
• Background checks required for all final candidates
• CV or LinkedIn profile required with application

• Professional growth
• Meaningful projects
• Open culture
• Outstanding work-life balance
• Flexible hybrid work model
• Opportunities to create the future of a growing, fast-developing, and important sector
• Learning culture supporting continuous unlearning and relearning
• Diversity, equity, and inclusion-focused workplace