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Senior Data Architect

hace 2 meses

Llanera, Asturias, España IQVIA A tiempo completo

About the Role:

We are seeking a highly skilled and experienced Data Architect to join the EMEA Regional Team at IQVIA.

Job Summary:

The successful candidate will be responsible for designing, implementing, and maintaining the organization's data architecture, including data models, databases, data integration, and data security.

Key Responsibilities:

  • Design and develop data models, database schemas, and data integration solutions to meet the organization's business and technical requirements.
  • Collaborate with internal and external stakeholders, data analysts, and IT teams to ensure that the data architecture aligns with the organization's IT strategy.
  • Develop and maintain data architecture standards, policies, and procedures to ensure data security and privacy.
  • Optimize database performance and scalability by tuning database parameters and recommending hardware upgrades.
  • Develop, optimize, and maintain data migration and data integration processes to ensure seamless data flow.
  • Develop and maintain data dictionaries, data lineage, and data quality rules to ensure data accuracy and integrity.
  • Stay up to date with the latest data architecture trends and technologies and recommend improvements to the existing data architecture.

Requirements:

  • Bachelor's degree in computer science, Information Systems, or a related field.
  • 5+ years of experience in data architecture.
  • Strong knowledge of data modeling, database design, and data integration.
  • Strong SQL and database skills.
  • Experience with Object-Oriented Programming in Python or Java.
  • Experience with REST API interfaces.
  • Experience in data governance and data lineage.
  • Experience in designing and implementing data security and privacy controls.
  • Experience in data migration and data integration.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently as well as in a team environment.
  • Knowledge of data warehousing concepts and methodologies.
  • Knowledge of healthcare industry data standards and data models.

Desirable Skills:

  • Experience in the medical domain.
  • Experience with Ontology Crosswalks.