Cloud Data Architect @ apreel Sp. z o.o.

1 month ago


Remote, Czech Republic apreel Sp. z o.o. Full time

Skills and attributes for success: 

  • Solving complex business problems at large scale. Participating in a cross-functional initiatives and collaborating across various domains. Interacting with specialists, product/project managers and partners from all over the world. 

To qualify for the role, you must have: 

  • 8+ years of professional, hands-on experience building complex solution 
  • 3+ years working in an Architect role including: designing and building complex data solutions 
  • 3+ years’ experience with Azure or AWS cloud products and services 
  • Understanding data fabric, data mesh, data vault 
  • MPP solutions like: Databricks, Snowflake, Synapse, Redshift 
  • Ability to facilitate design discussions and communicate architectural decisions 
  • Experience in creating reliable solution plans in a cooperation with business and multi-disciplinary teams: costs estimation, delivery approaches 
  • Demonstrated strategic thinking through a proven ability to research client inquiries and emerging issues related to regulations, industry practice and new application technologies 
  • Experience in using Agile methodologies (Scrum, Kanban, etc.) 
  • English C1, preference German as well 

Ideally, you’ll also have: 

  • Hands-on, professional experience with BI/ETL/Bigdata Technologies 
  • Strong understanding and experience with design techniques of relational databases 
  • Experience with data lakes 
  • Experience with real-time data processing and data warehousing aggregation 

Profile: Cloud Data Architect 

Your key responsibilities 

As a Cloud Data Architect you will be responsible for designing of solution architecture for organization in a cloud. 

Offer:   

  • Localization: Poland / remote
  • Start: ASAP
  • Cooperation: long term
  • Employment: B2B contract with apreel
  • Salary: 200 PLN/h +VAT
,[] Requirements: Cloud, Azure, AWS Cloud, Vault, Databricks, Snowflake, Redshift, Kanban, BI, ETL, Relational database, Data Lake Tools: Jira, GitLab, GIT, Jenkins, Agile, Scrum, Kanban. Additionally: International projects.

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