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Today we have 35 offers

Principal Data Architect

Principal Data Architect
Python, Java, Scala, Spark, SQL, S3, Pandas, Tensorflow
Barcelona, Londres, Amsterdam, Berlín, Munich
Project with 16 million customers
2 weeks ago
Contact person
p. +34 663 444 972
Contact person

We are working for a new client offering a service that enables millions of business owners around the world to promote themselves professionally through a revolutionary business modelproprietary technologies and direct marketing expertise. 

We are looking for a Principal Data Architect for their Data and Analysis (DnA) department who will work alongside a cross-functional team that includes product owners, analysts, technologists, data engineers and more, to work on developing tools that will help contribute amazing customer value. 

As a Principal Data Architect, you’ll... 

 … Lay the foundations for all our Data Engineers, Data Scientists and other engineering roles how to build sustainable data products 

 … Collaborate with engineers (with various levels of experience) to design/architect production grade data products using technologies such as Snowflake, S3, Databricks and more  

… Build the architecture capability by training/coaching aspiring software engineers interested in pursuing the career track 

 … Help to adoption of best practices for data engineering  

… Collaborate to the team on complex use cases to help evaluate new technologies and features 

 … Manage a team of direct reports with responsibility for career growth, feedback, and performance management 


  • Commuter benefits 
  • Onsite gym 
  • Free breakfast on Monday and Friday 
  • Generous PTO 
  • Flexible working conditions 
  • Language courses 
Basic requirements

Your Qualifications   

  • 15+ years coding and architecture experience in at least one modern programming language: Python, Java, Scala etc. 
  • Experience with Spark, SQL, S3 
  • Experience with ML libraries and tabular data libraries. E.g: Pandas, tensorflowsmarkmlib, and beam 
  • Experience with cloud services in AWS (Preferred), Azure or Google 
  • Experience handling large volume data as well as both structured/unstructured data of various quality 
  • Degree in Computer Science, Engineering, Mathematics, or a related field 
  • Problem solving and multi-tasking ability in a fast-paced, globally distributed environment 


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