Data & Analytics Architect (SAP)

4 weeks ago

San Diego, United States Cypress HCM Full time

The selected candidate will be part of the IT Solution Delivery Analytics team and responsible for the understanding, extending and enriching the company's enterprise data landscape, applications and platforms, contribute to new capability/technology assessments and pilots, and consult/support day to day operations of specific solutions that support analytics, innovation, and insight for US teams. This hands-on solution application architecture role also entails additional strategic and operational responsibilities to contribute to the definition of the company's direction for information management, analytics, and Big Data.


**Will sponsor H1 Visa candidates**

**Must reside in the San Diego area**


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


Requirements:

  • Bachelor’s degree in Business Analytics and Data Analytics, etc. (Master’s degree a plus)
  • At least 7-15 years of related work experience
  • SAP HANA 100 and 150 certifications required (DBaaS); SAP Certified Development Associates preferred.
  • Azure, GCP, or AWS certifications related to solution architecture, data management and/or data engineering a plus.
  • Business Management or Operational Excellence degree or equivalent certificates (i.e. Lean Six Sigma, etc.) a plus
  • Relevant experience with data management, processing, and integration for business critical systems and enterprise business operations.
  • Demonstrated expertise with developing and driving realization of data-centric application architecture and development
  • Well versed in business operations, data domain analysis, data warehousing (design and operations), and database design.
  • Demonstrated expertise of business processes, integration, and data structures.
  • 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 cloud-based offerings and vendor differentiation related to analytics, data management, integration, data quality, and information processing platforms and capabilities.

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