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Hoy tenemos 40 ofertas

Principal Data Architect

Principal Data Architect
Python, Java, Scala, Spark, SQL, S3, Pandas, Tensorflow
Barcelona, Londres, Amsterdam, Berlín, Munich
Project with 16 million customers
hace 10 meses
Persona de contacto
t. +34 663 444 972
Persona de contacto

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 
Requisitos básicos

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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