Data Platform Architect

hace 7 días

Barcelona, Barcelona, España Veeva Systems A tiempo completo

About Veeva Systems

Veeva Systems is a pioneering organization in the industry cloud, dedicated to helping life sciences companies accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we have achieved significant revenue growth, with a strong potential for future expansion. Our core values are centered around Doing the Right Thing, Customer Success, Employee Success, and Speed. We are a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

Our Work Environment

We are a Work Anywhere company, supporting our employees' flexibility to work from home or in the office, allowing them to thrive in their ideal environment. Our commitment to making a positive impact on our customers, employees, and communities drives our mission to transform the life sciences industry.

The Role of Veeva Link

Veeva Link plays a crucial role in the life sciences industry by developing connected data applications to enhance research and patient outcomes. It facilitates professionals in finding the right people, such as clinical trials, education programs, or advisory boards, thereby reducing the time-to-market of essential drugs and improving research efficiency.

About the Data Platform Engineer Role

As a Data Platform Engineer at Veeva Systems, you will focus on our Data Platform, bringing software and data engineering skills to the table. You will be responsible for a major part of the system landscape, taking ownership of features and innovation using SOLID and clean software principles. You will participate in the architectural enhancement process and ensure the quality of the outcome, including monitoring, metrics, and general observability.

Key Responsibilities

  • Shape and work on Veeva Link's next-gen Data Platform
  • Improve our current environment with features, refactoring, and innovation
  • Work with JVM-based languages, preferably Python or Java, on Spark-based data pipelines
  • Experiment in your domain to improve precision, recall, or cost savings
  • Apply software engineering skills to build maintainable, extensible, and SOLID data applications

Requirements

  • 3+ years of experience
  • Expert skills in Python or Java
  • Experience with Apache Spark
  • Experience writing software for the cloud (AWS or GCP)
  • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions

Nice to Have

  • Experience with Data Lakes, Lakehouses, and Warehouses

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