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:  

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  5+ years of experience in Data Engineering or Data Architecture 

  
  

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  Strong commercial experience with Snowflake and/or Databricks or Microsoft Fabric 

  
  

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  Experience designing and building Data Warehouse or Data Lake solutions 

  
  

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  Hands-on experience with Big Data processing 

  
  

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  Strong ETL/ELT pipeline development experience 

  
  

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  Excellent SQL skills 

  
  

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  Experience working with large-scale datasets (terabytes of data) 

  
  

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  Strong understanding of data modeling and performance optimization 

  
  

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  Upper-Intermediate+ English 

  
  

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  Ability to work independently and make architecture decisions
  
  Responsibilities: 

  
  

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  Design and implement scalable Data Warehouse and Data Lake architectures 

  
  

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  Build and optimize ETL/ELT pipelines 

  
  

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  Develop data ingestion solutions for multiple third-party SaaS platforms 

  
  

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  Process and transform large volumes of structured data 

  
  

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  Design incremental data synchronization processes 

  
  

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  Evaluate and introduce modern Data Engineering tools and technologies 

  
  

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  Optimize platform performance, scalability, and cost efficiency 

  
  

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  Collaborate with stakeholders to define the future architecture of the platform 

  
  

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  Ensure high-quality, analytics-ready data for reporting and downstream consumer 

  
  

Schedule: Flexible Part-Time (approx. 20–25 hours per week). Agile schedule with the ability to balance daily workload (4–6 hours/day).No late meetings and overtime.   

Why Choose Us? What Do We Offer that's Exceptional?    

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  Greenfield architecture with no legacy constraints 

  
  

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  Opportunity to build a modern Data Platform from scratch 

  
  

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  Freedom to influence technology choices and architectural decisions 

  
  

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  Challenging Big Data and distributed data processing problems 

  
  

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  High level of ownership and autonomy 

  
  

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  Direct impact on a new strategic company initiative 

  
  

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  Work with the latest technologies in the Data Engineering ecosystem