Senior Data Architect

***Nous utilisons des* *pour fournir des statistiques qui nous aident vous offrir la meilleure exprience sur note site. Vous y trouverez des renseignements sur les tmoins, ou vous pouvez les dsactiver si vous prfrez. Toutefois, en continuant dutiliser le site sans modifier les paramtres, vous consentez notre utilisation de**** 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, NoSQL, 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 NoSQL 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**Skills:** #J-18808-Ljbffr