CTC006039 - ARCHITECTE DE SOLUTION BIG DATA

Secteur industriel: Bancaire/Banking
Type d'emploi: Contract
Durée: One year
Mode de travail: On Site

Description

Duration: 12 months mandate with possibility of permanence.

Bilingualism: Required (French and English).

Rate open

Remote: 100% remote. An eventual presence on site will be considered. It is recommended to live in Montreal or its surroundings.

About the role:

- Do you have a strong background in Big Data and would like to leverage it by designing innovative and groundbreaking solutions?

- Do you want to influence the Bank's IT strategies and directions?

- Do you want to put your expertise to work building the digital bank of tomorrow?

The IT - Advanced Analytics Ecosystem team is looking for a Big Data Solutions Architect to join a project at the heart of our data strategy. We need someone who is creative in designing analytical solutions, able to deliver real results while meeting commitments, and able to collaborate happily and efficiently in multidisciplinary teams.

Working on an architecture team means being at the center of the Bank's transformation and playing a key role in designing secure, forward-thinking solutions.

More details on responsibilities:

- In collaboration with domain architecture, development teams and operations, design and implement complex megadata solutions.

- Define the megadata and analytics strategy using relevant technologies and analytics industry trends.

- Lead the implementation of the defined strategy in the design and architecture of the client analytics platform components using cloud infrastructures (Azure, AWS) as well as several software components required by data scientists.

- Lead the design of reference architecture models for structured and unstructured data integration

- Define technical evaluation criteria for product and technology selection and to determine preferred technical approaches for successful solutions within a coherent system design.

- Participate in and execute proof of concept exercises for the adoption of new megadata management technologies, software engineering tools, and models within existing structures.

- Use influence to recommend methods for improving data reliability, efficiency and quality.

- Monitor the implementation of solutions through to delivery ensuring compliance with established architectures (enterprise architecture).

What you offer:

- 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, AWS cloud.

- Experience building architectures related to data security, firewalls, encryption, identity and access management (IAM), networking, compliance (SOX/HIPPA/PII) and data protection

- Hands-on experience with several megadata tools (Spark, Kafka, Snowflake, Databricks, Qlik)

- Experience designing data pipelines and automating megadata platform applications/services using Python, PySpark, SQL and Javascript; and automating them using DevOps processes and tools

- Experience with Git, Ansible, Terraform, Jenkins in mission critical production environments desirable.

- Excellent knowledge of container management practice and tools ( Docker, Kubernetes).

- Excellent knowledge of architecture design, data modeling, and implementation of megadata platform architectures and analytics applications.

- Knowledge and experience with advanced analytics capabilities, including machine learning using supervised and unsupervised techniques

Notre barre latérale

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