Job Description:
We are seeking a reliable and convincing Big Data Architect to join our client, a rapidly growing international pharmaceutical company with almost 10,000 employees worldwide.
As a key member of the team, you will play a crucial role in designing and implementing Big Data solutions. Your expertise will be instrumental in developing architectures that effectively handle large amounts of structured and unstructured data.
Main Responsibilities:
* Strategic Planning: Develop strategies for integrating various data sources as Lead Big Data Architect.
* Security and Privacy: Ensure the security and privacy of Big Data solutions through the implementation of appropriate security measures and data protection policies.
* Optimization Strategies: Identify and implement optimization strategies to maximize the performance of Big Data systems.
* Collaboration: Collaborate closely with data scientists, data engineers, and IT experts to ensure that the Big Data architecture meets business requirements.
* Technical Specifications: Implement business requirements into technical specifications, including data flows, integrations, transformations, databases, data lakes, ML, and data warehouses.
* Solution Evaluation: Ensure that solutions demonstrate high performance, security, scalability, maintainability, reasonable reusability, and reliability during deployment.
* Technology Evaluation: Evaluate and select technologies, platforms, and tools that meet the specific requirements of the company.
* Tech Trend Monitoring: Monitor developments in the field of Big Data technologies and trends to ensure that the architecture stays up-to-date.
Requirements:
* A minimum of five years of professional experience in data engineering with proven experience in developing data architectures and pipelines.
* Strong knowledge of programming languages such as Python, Java, or Scala, as well as experience with databases and Big Data technologies.
* Very good knowledge of complex data structures.
* Profound knowledge of data modeling and design to optimize query performance and data processing.
* Excellent communication skills to convey technical concepts to both internal and external stakeholders.
* Very good English language skills, both spoken and written, and German skills at the B1 level.
In this role, you will have the opportunity to work on unique projects and leave your personal footprint in building the data architecture. Our client offers flexible working hours and a pleasant, collegial international corporate culture, including an authentic, collegial, and dynamic interaction with each other.
We appreciate diversity and therefore welcome all applications, regardless of gender, social origin, religion, age, and identity.