Senior Data Architect

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**** Leads the development and implementation of data integration and migration strategies for large datasets.
* Designs and architects highly scalable data pipelines to load data from various source systems.
* Designs, architects, and maintains data models, data warehouses, and data lakes optimized for scalability and performance.
* Designs data architecture and IT solutions to ensure data is stored properly, usable by business units, and protected from attacks.
* Optimizes data solutions for performance and scalability, utilizing techniques such as data partitioning, distributed processing, and data compression.
* Identifies the needs of the data lakes and data warehouses, the data that is available, and creates a blueprint for creating, testing and maintaining them.
* Works with database administrators and data analysts to ensure they can easily use and access data.
* Works with management to create databases that will be usable and store the required information.
* Addresses issues with data migration (e.g., validation, clean-up and mapping) and understands the importance of Data Dictionaries.
* Documents data architectures, technical processes, and performance optimization strategies.
* Documents data interfaces and movement which includes frequency of movement, data transformations, and any aggregation or calculations.
* Integrates views of data by working with business team members and application designers to determine data requirements (e.g., availability, volumes).
* Defines data architecture standards and guidelines, and how to use the architected databases.
* Helps ensure a focus on data quality, working closely with business team members to determine its importance.
* Software/platform/infrastructure architecture plans to support business strategy and outcomes.
* Defines the overall integration of Data and ML pipelines across the data supply chain and defines the technical and operational design of these pipelines.
* Implements mechanisms to monitor and prevent unethical use of data, such as bias in algorithms or discriminatory practices.
* Experience architecting, designing and developing large-scale data solutions and enterprise-wide systems
* Strong knowledge of data management skills (e.g., Hadoop, No

SQL, Spark), metadata management, big data management
* Expert knowledge of structured analysis and design techniques
* Knowledge across data technology stack (e.g., Azure Data Factory, Databricks, Spark, Python, Synapse)
* Strong understanding of data management, from RDBMS to No

SQL data models
* Knowledge of ETL and data integration tools and technologies
* Software development experience using multiple languages (e.g.,
** Python**, Java, C, C++, C#)
* Understanding of logical designs of how databases will link to each other and the flow of data between stages
* Ability to use AI to support data management strategies.
* Provides professional advice – takes a lead role of process or program execution
* Is accountable for own work and contributes to setting standards through expertise in own job discipline that impact others’ deliverables
* Work is guided by cascaded policies or business plans
* May lead medium to large size projects or work streams with moderate resource requirements, risk and/or complexity with multiple teams representing different interests
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* Skills:

** Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Si vous postulez à ce poste en dehors de votre lieu principal, veuillez contacter  pour connaître la fourchette salariale applicable à votre région.
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