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Chief Data Infrastructure Specialist
Job summary
A leading data solutions provider in Comunidad Valenciana is seeking a Senior Data Architect to lead data integration initiatives and collaborate with cross-functional teams. Candidates should have at least 8 years of experience in designing robust architectures, along with proficiency in big data solutions and cloud architectures. Strong communication skills are essential. Join us to shape data strategies that drive business success.
Qualifications
- Minimum 8 years' experience in similar roles, designing scalable and robust architectures.
- Proven experience in Big Data solutions and cloud-based architectures.
- Fluent in English; French is a plus.
- Strong communication skills and ability to effectively interact with senior leadership.
- Ability to collaborate in a diverse and dynamic environment.
Responsibilities
- Lead data integration initiatives for quality, consistency, and availability.
- Collaborate with development, product, and operations teams for technical and functional alignment.
- Serve as a bridge between technical teams and senior management.
Skills
- Lead data integration initiatives for quality, consistency, and availability.
- Collaborate with development, product, and operations teams for technical and functional alignment.
- Serve as a bridge between technical teams and senior management, translating business requirements into effective technical solutions.
- Minimum 8 years' experience in similar roles, designing scalable and robust architectures.
- Proven experience in Big Data solutions and cloud-based architectures (AWS, Azure, or Google Cloud).
- Languages : Fluent English / French (nice to have).
- Strong communication skills and ability to effectively interact with senior leadership.
- Interpersonal Skills : Ability to collaborate in a diverse and dynamic environment.
- Advanced knowledge of relational (SQL) and non-relational (NoSQL) database systems.
- Experience with Big Data tools and platforms (Hadoop, Spark, Kafka, etc.).
- Designing and optimizing data pipelines.
- Expertise in ETL tools (Informatica, Talend, Apache Nifi, etc.).
- Experience integrating data across enterprise systems.
- Logical and physical data modeling.
- Defining standards and policies for data governance.
- Implementing security measures for data management.
- Knowledge of regulations like GDPR or other relevant standards.
- Proficiency in Python, Java, R, or similar for data analysis and processing.
Diversity, Inclusion & Belonging : We welcome applications regardless of age, gender, origin, disability, or any characteristic protected by law.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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