Data Architecture Lead (all genders)

☞ Merck Group

전망: 205

갱신일: 24-10-2024

위치: Darmstadt Hesse

범주: R & D 경영진 기획 / 프로젝트

산업: Pharmaceuticals Information Technology Services Information Services

수평: Associate

직업 종류: Full-time

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작업 내용



A career at our company is an ongoing journey of discovery: our 58,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your role
 The ability to easily find, access, and analyze data across an organization is key for every modern business to be able to efficiently make decisions, optimize processes, and to create new business models.
As the Data Architecture Lead (all genders) in the Healthcare Digital & Data - Data Governance & Architecture team you will play a key role in unlocking this potential by defining and implementing a harmonized data architecture for our Healthcare business. Together with a team of Data Engineers, you are responsible for the delivery and maintenance of reliable data pipelines for the ingestion of data from a heterogenous ecosystem as well as the creation of specialized, cloud-based data processing and analytics stacks. You will work hand in hand with our Data Governance team to ensure that all data assets are covered by our governance process. During the process you will collaborate closely with our business, corporate functions, as well as out IT organization, in order to gather requirements and shape a global framework of engineering best practices.

Who you are
  • M.Sc./PhD in Computer Science or related field and 5+ years of work experience in a relevant capacity
  • Agile mindset, a spirit of initiative, and desire to work hands-on together with your team
  • Interest in solving challenging technical problems and developing the future data architecture that will enable the implementation of innovative data analytics use-cases
  • Experience in leading small to medium-sized teams
  • Experience in creating architectures for ETL processes for batch as well as streaming ingestion
  • Knowledge of designing and validating software stacks for GxP relevant contexts as well as working with PII data
  • Familiarity with the data domains covering the Pharma value-chain (e.g. research, clinical, regulatory, manufacturing, supply chain, and commercial)
  • Strong, hands-on experience in working with Python & R codebases, proficiency in additional programming languages (e.g. C/C++, Rust, Typescript, Java, …) is expected
  • Knowledge of container technologies such as Docker and Kubernetes
  • Knowledge of database technologies for OLTP and OLAP workloads and a firm grasp of SQL
  • Experience working with Apache Spark and the Hadoop ecosystem
  • Working with heterogenous compute environments and multi-platform setups
  • Experience in working with cloud environments such as AWS, GCP, and Azure
  • Basic knowledge of Statistics and Machine Learning algorithms is favorable


What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!

Curious? Apply and find more information at https://jobs.vibrantm.com

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마감 시간: 08-12-2024

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