8 days ago - req34040

Enterprise Data Architect


Computer science & software engineering

Other technical job categories

In a nutshell


San Diego - CA, US




8+ years



Job Category

Computer science & software engineering, Other technical job categories

Introduction to the job

The mission of this position is to design, update, and operate robust, reliable, and secure machine data foundation and data processing applications that can scale and adapt to accommodate a broad and consistent flow of new business requirements in functionality, data volume, user consumption, etc. The selected candidate will be part of the ASML IT Big Data and Analytics (BDA) US team and be responsible for the technical architecture of Cymer Light Source laser/machine data pipelines, applications and platforms, will contribute to new capability/technology assessments and pilots, and consult/support day to day operations of specific solutions within the Cymer information management landscape.This hands-on solution data architect role also entails additional strategic and operational responsibilities to contribute to the definition of Cymer’s direction for information management, analytics, and Big Data.You will work with your team to capture the constant and dynamic refinement of business priorities and data & analytics user stories. You are looked upon, and rewarded for, being able constantly switch between business value and technical implementation. Together with your team you will work constantly to drive ASML’s ambition by building a modern Data & Analytics platform and data foundation, using modern DevOps and Cloud components and leveraging the Agile mindset fully.

Role and responsibilities

  • Design, develop, and support robust, enterprise-grade data pipelines from external and internal data sources into on-premise and on-cloud data targets.
  • Improve, automate, and strengthen existing data pipelines to improve reliability and availability.
  • Contribute to the design and implementation to the innovation and improvement of the ASML data foundation.
  • Strong partner in discussions with solution team system architect and other stakeholders within the internal customer departments.
  • Contribute to Hadoop and Cloud competence to strengthen and improve local data engineering capabilities and capacity.
  • Keep abreast with relevant literature, means and methods.

Education and experience

  • Bachelor’s degree in Computer Science or equivalent technical domain and a minimum of 8+ years of relevant experience with data management, processing, and integration for business critical systems
  • Expertise withdeveloping and driving realization of data-centric application architectureand development, information policy formation, information taxonomy andmodeling.
  • Competence in businessdomain analysis, data warehousing (design and operations), and databasedesign.
  • Demonstrated competence with benefits,design and management of structured and unstructured content and databases/ repositories (SQL, NoSQL, HDFS/Hadoop distributions, etc.) and hands-onexperience with specific products.
  • Demonstrated competence withMicrosoft SQL Server, Oracle DBMS, SAP Business Objects, and related toolsis required.
  • Familiar with data governance principles, enterprise data modeling, and data management practices.


Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.

To thrive in this job, you’ll need the following skills:

  • Proficient with cloud native services such as Google BigQuery / Azure Synapse, Databricks, Managed Kubernetes: GKE or AKS, Serverless programming, Azure Data Factory or Google Cloud Dataflow.
  • Working knowledge and understanding of benefits and positioning of data virtualization.
  • Working knowledge of data science, data mining, OLAP programming, database management and programming, business process modeling and analysis.
  • Working knowledge of mobile-enabled business analytics architecture and solutions.
  • Working knowledge of statistical computing and graphics programming languages (e.g. R, S-Plus, Python, etc.).
  • Working knowledge of open source or commercial data visualization tools (e.g. Tableau, Qlikview, Spotfire, etc.).
  • Working knowledge of cloud-based offerings and vendor differentiation related to analytics and information processing capabilities.

Diversity & Inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Other information

EOE AA M/F/Veteran/Disability

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