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Principal Big Data Architect - Europe Remote

Date: Jan 7, 2021

Location: Barcelona, B, ES, 08019 Munich, DE, 80333 Amsterdam, NL, 1012 AB

Company: Cimpress/Vistaprint

Who We Are:

Vistaprint’s Data and Analytics (DnA) organization is working to make our company one of the world’s most well-known and successful data-driven companies. The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vistaprint with information and tools we can use to deliver jaw-dropping customer value. DnA team members are empowered to learn new skills, communicate openly and be active problem-solvers.

 

The newly established DnA organization will consist of multi-functional product teams that sit in 5 domains (pricing/promotion/personalization, channel platform & digital advertising, core business & customer modeling, manufacturing & supply chain and customer care). The Data Architecture Group works across all these domains to ensure our multi-functional data product teams with Data Engineers, Data Scientists and other engineering roles to build thoughtfully architected, performant, scalable, software products using our Data Platform.

 

What You Will Do:

  • Guide architectural decisions of data product teams as they craft, implement and maintain ML-focused data products (for example product recommendation engines, elasticity-based pricing algorithms or natural language processing)
  • With your deep technical expertise and problem-solving skills, help data products teams to tackle their latest and most sophisticated challenges (e.g., evaluate new technologies, performance tuning, provide feedback on code during pull-requests)
  • Pioneer new architectural and technological approaches with different data product teams and promote the findings as best practices into our organization
  • Drive overarching architectural standards and guidelines how to build balanced and resilient data products on our Data Platform (Snowflake, S3, Spark, Sagemaker, MLFlow, … )
  • Identify open (technological) gaps across different data product teams and collaborate with the Data Platform Team and our internal data product teams to build up these capabilities

 

Your Qualifications:

  • Longstanding engineering experience in the data space with demonstrated ability (+5 years) in data and machine learning architecture roles
  • Experience with architecting, building and productionizing ML-powered data products (supervised and unsupervised learning) with large volumes of structured and unstructured data
  • Experience in crafting architectural decisions and standards, mentor teams as well as influencing our engineers to embrace best practices
  • Problem solving and multi-tasking ability in a fast-paced, globally distributed environment
  • Experience with cloud services in AWS (Preferred), Azure or Google

 

Nice to Have:

  • Experience with databases (SQL, NoSQL), machine learning libraries and Data/MLOps
  • Familiarity with API’s/microservices (REST)

 

About Us:

As an e-commerce powerhouse, Vistaprint is a dynamic organization that maintains an exciting, entrepreneurial culture. With founder Robert Keane’s return as CEO, we’ve renewed our focus on empowering and helping small businesses. To do this, we create customer value (and delight) through accessible, cutting-edge technology. We thrive on providing opportunities for exploration, collaboration, innovation and growth – for both our customers and our team.

 

Equal Opportunity Employer:

Vistaprint, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

 

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