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Big Data Solution Architect
Location:
US-QC-Montreal
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Big Data Solution Architect 1 Year Project in Montreal, QC

About the role
You have solid experience in Big Data and would like to exploit it by designing innovative and innovative solutions?
Do you want to influence the Bank's IT strategies and orientations?
Do you want to use your expertise to build the digital bank of tomorrow?
The TI - Advanced Analytics Ecosystem team is looking for a Big Data Solutions Architect who will join a project at the heart of our data strategy.
We need someone who is creative in designing analytical solutions, able to deliver concrete results while respecting commitments, and able to collaborate with pleasure and efficiency in multidisciplinary teams.
Working within an architectural team means being at the center of the Bank's transformation and playing a key role in the design of security and avant-garde solutions.

More details on responsibilities:
In collaboration with domain architecture, development teams and operations, design and implement complex big data solutions.
Define big data and analytics strategy using relevant technologies and analytics industry trends.
Lead the implementation of the strategy defined in the design and architecture of the components of the customer analytical platform using Cloud infrastructures (Azure, AWS) as well as several software components required by data scientists.
Lead the design of reference architecture models for the integration of structured and unstructured data.
Define technical evaluation criteria for the selection of products and technologies and to determine the preferred technical approaches for the solutions bear fruit, within a design of coherent systems.
Participate and execute proof-of-concept exercises for the adoption of new big data management technologies, software engineering tools and new models within current structures.
Use its influence to recommend methods of improving the reliability, efficiency and quality of data.
Follow the implementation of solutions until their deliveries while ensuring compliance with established architectures (enterprise architecture).

What you are offering:
Completed Bachelor's degree, related to the industry, and 10 years of relevant experience or Completed Master's degree, related to the industry and 7 years of relevant experience.
Experience and knowledge of Azure cloud, AWS.
Experience in establishing architectures related to data security, firewalls, encryption, identity and access management (IAM), networks, compliance (SOX / HIPPA / PII) and protection data
Hands-on experience with multiple big data tools (Spark, Kafka, Snowflake, Databricks, Qlik)
Experience in data pipeline design and automation of big data platform applications / services using Python, PySpark , SQL and Javascript; and in their automation through development and operations (DevOps) processes and tools
Experience with Git, Ansible, Terraform, Jenkins in mission- critical production environments desirable.
Excellent knowledge of container management practices and tools (Docker, Kubernetes).
Excellent knowledge of architecture design, data modeling and implementation of big data platform architectures and analytical applications.
Knowledge of and experience with advanced analytical skills, including machine learning using supervised and unsupervised techniques.
Bilingualism (spoken / written) French and English this is essential.

Architecte de solutions big data - Projet dun an Montral, QC

propos du rle
Vous avez une solide exprience dans le domaine des mgadonnes et vous souhaitez lexploiter en concevant des solutions innovantes et innovantes ?
Voulez-vous influencer les stratgies et les orientations de la Banque en matire de CI?
Vous dsirez mettre profit votre expertise pour btir la banque numrique de demain?
Lquipe ti - Advanced Analytics Ecosystem est la recherche dun architecte de solutions big data qui se joindra un projet au cur de notre stratgie de donnes.
Nous avons besoin de quelquun qui est cratif dans la conception de solutions analytiques, capable dobtenir des rsultats concrets tout en respectant les engagements, et capable de collaborer avec plaisir et efficacit auprs dquipes multidisciplinaires.
Travailler au sein dune quipe darchitectes, cest tre au centre de la transformation de la Banque et jouer un rle cl dans la conception de solutions de scurit et davant-garde.

Plus de dtails sur les responsabilits:
En collaboration avec larchitecture de domaine, les quipes de dveloppement et les oprations, concevoir et mettre en uvre des solutions complexes big data.
Dfinir la stratgie de mgadonnes et danalyse laide des technologies pertinentes et des tendances de lindustrie de lanalytique.
Diriger la mise en uvre de la stratgie dfinie dans la conception et larchitecture des composants de la plateforme danalyse client laide dinfrastructures cloud (Azure, AWS) ainsi que de plusieurs composants logiciels requis par les scientifiques de donnes.
Diriger la conception de modles darchitecture de rfrence pour lintgration de donnes structures et non structures.
Dfinir des critres dvaluation technique pour la slection des produits et des technologies et dterminer les approches techniques privilgies pour les solutions portent leurs fruits, dans le cadre dune conception de systmes cohrents.
Participer et excuter des exercices de preuve de concept pour ladoption de nouvelles technologies de gestion des mgadonnes, doutils de gnie logiciel et de nouveaux modles au sein des structures actuelles.
Utilisez son influence pour recommander des mthodes damlioration de la fiabilit, de lefficacit et de la qualit des donnes.
Suivre la mise en uvre des solutions jusqu leur livraison tout en assurant le respect des architectures tablies (architecture dentreprise).

Ce que vous offrez:
Baccalaurat complt, reli lindustrie, et 10 ans dexprience pertinente ou de matrise complte, li lindustrie et 7 ans dexprience pertinente.
Exprience et connaissance du nuage Azure, AWS.
Exprience dans ltablissement darchitectures lies la scurit des donnes, aux pare-feu, au cryptage, la gestion des identits et des accs (IAM), aux rseaux, la conformit (SOX / HIPPA / PII) et aux donnes de protection
Exprience pratique avec plusieurs outils big data (Spark, Kafka, Snowflake, Databricks, Qlik)
Exprience dans la conception de pipelines de donnes et lautomatisation dapplications/services de plateformes big data utilisant Python, PySpark, SQL et Javascript; et dans leur automatisation grce des processus et des outils de dveloppement et dexploitation (DevOps)
Exprience avec Git, Ansible, Terraform, Jenkins dans des environnements de production critiques souhaitables.
Excellente connaissance des pratiques et des outils de gestion des conteneurs (Docker, Kubernetes).
Excellente connaissance de la conception darchitecture, de la modlisation de donnes et de la mise en uvre darchitectures de plateformes big data et dapplications analytiques.
Connaissance et exprience des comptences analytiques avances, y compris lapprentissage automatique laide de techniques supervises et non supervises.
Bilinguisme (parl/ crit) Franais et anglais cest essentiel.


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