Senior DWH Engineer / Data Architect

About the project We are building a new Data Platform that consolidates data from various third-party SaaS products into centralized analytical environments such as Snowflake, Databricks, and Microsoft Fabric. The platform will provide clients with secure access to reporting and analytics-ready data through Data Warehouses and APIs. This is a greenfield initiative where the selected engineer will play a key role in defining architecture, selecting technologies, building ETL/ELT pipelines, and establishing the foundation for a long-term Data Platform offering. Requirements: 5+ years of experience in Data Engineering or Data Architecture Strong commercial experience with Snowflake and/or Databricks or Microsoft Fabric Experience designing and building Data Warehouse or Data Lake solutions Hands-on experience with Big Data processing Strong ETL/ELT pipeline development experience Excellent SQL skills Experience working with large-scale datasets (terabytes of data) Strong understanding of data modeling and performance optimization Upper-Intermediate+ English Ability to work independently and make architecture decisions Responsibilities: Design and implement scalable Data Warehouse and Data Lake architectures Build and optimize ETL/ELT pipelines Develop data ingestion solutions for multiple third-party SaaS platforms Process and transform large volumes of structured data Design incremental data synchronization processes Evaluate and introduce modern Data Engineering tools and tech