Context of the Position
We are seeking an experienced and strategic IT / IS Architect (Data Architect) to lead the company’s data architecture initiatives. This is a high-impact role that involves developing robust, scalable solutions and integrating our platforms into an ever-evolving technological ecosystem.
The ideal candidate will collaborate closely with the executive team, managing critical projects and contributing to strategic decision-making regarding data infrastructure and technological advancements.
Responsibilities
* Design and implement a scalable data architecture aligned with business needs and strategic objectives.
* Lead data integration initiatives, ensuring quality, consistency, and availability of information.
* Collaborate with development, product, and operations teams to ensure technical and functional alignment.
* Serve as a bridge between technical teams and senior management, translating business requirements into effective technical solutions.
* Oversee compliance with security standards, data privacy, and applicable regulations. Develop strategies for large-scale data storage, processing, and analysis (Big Data).
* Evaluate and implement emerging technologies to enhance business value.
What We\ 're Looking For
Experience
* Minimum of 8 years’ experience in similar IT / IS and data architecture roles. Designing scalable and robust architectures.
* Proven experience in designing and implementing Big Data solutions and cloud-based architectures (AWS, Azure, or Google Cloud).
* Languages:
Fluent English (Interviews will be conducted in English) / French (nice to have)
* Communication:
Strong communication skills and ability to effectively interact with senior leadership.
* Interpersonal Skills:
Ability to collaborate in a diverse and dynamic environment.
Technical Skills
* 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.
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