Overview
data architect job description
as a senior-level data architect, you will play a key role in shaping our data strategy and driving business growth through data-driven insights.
Responsibilities
design and implement scalable data architectures that align with business needs and strategic objectives.
Lead data integration initiatives to ensure quality, consistency, and availability of information.
Collaborate with cross-functional teams to ensure technical and functional alignment.
Required skills and qualifications
minimum 8 years' experience in similar it/is and data architecture roles.
Proven experience in designing and implementing big data solutions and cloud-based architectures (aws, azure, or google cloud).
Languages: fluent 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.
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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