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Senior Data Architect
hace 2 meses
About the Role
We are seeking a highly skilled and experienced Data Architect to join the EMEA Regional Team at IQVIA. As a Data Architect, you 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 support business intelligence and analytics initiatives.
- Collaborate with internal and external stakeholders to understand data requirements and design data architecture accordingly.
- Develop and maintain data architecture standards, policies, and procedures to ensure data quality and security.
- 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 consistency.
- Stay up to date with the latest data architecture trends and technologies and recommend improvements to the existing data architecture.
- Collaborate with IT teams to ensure that the data architecture aligns with the organization's IT strategy.
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.
