Azure Data Platform & Gen AI Expert

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Job Description: Azure Data Platform & Gen AI Expert - Blackbelt

Location: Toronto, ON

Fulltime with Eviden

About the Role: We are seeking a highly skilled and innovative Azure Data Platform & Gen AI Expert - Blackbelt to join our team. In this critical role, you will be responsible for leading the design, development, and implementation of cutting-edge data solutions leveraging the power of Cloud, Azure Data Platform and Generative AI. You will act as a thought leader, guiding our organization in maximizing the value of data through advanced analytics, machine learning, and AI/ML-powered applications.

Responsibilities:

• Lead the design and implementation of data solutions:

o Architect and build scalable, high-performance data pipelines on the Azure platform, including data ingestion, transformation, storage, and processing.

o Leverage Azure services such as MS Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Cosmos DB, Azure Functions and Power BI to build robust and efficient data & analytical solutions.

o Integrate Generative AI models (e.g., GPT, DALL-E 2) into data pipelines and applications to enhance data analysis, improve decision-making, and automate tasks.

• Drive innovation and best practices:

o Stay abreast of the latest advancements in Azure, data engineering, and Generative AI technologies.

o Conduct research and evaluate new technologies and tools to identify opportunities for improvement and innovation.

o Develop and implement best practices for data governance, security, and compliance within the Azure ecosystem.

• Act as a thought leader and consultant:

o Provide expert guidance and consultation to stakeholders on data architecture, data engineering, and AI/ML strategies.

o Evaluate and recommend optimal architectures and solutions for complex data challenges.

o Identify opportunities for cost optimization and efficiency improvements within the data platform.

o Develop and finalize implementation roadmaps for data projects, ensuring alignment with business objectives.

• Mentorship and collaboration:

o Mentor junior data engineers and data scientists on best practices and technologies.

o Collaborate effectively with cross-functional teams (e.g., data science, business analysts, software engineers) to deliver successful data projects.

Qualifications:

• Strong expertise in Azure data platform:

o Deep understanding of core Azure data services (e.g., Data Factory, Synapse Analytics, Databricks, Cosmos DB, Functions, Storage).

o Proven experience in designing and implementing scalable and performant data pipelines and solutions on the Azure platform.

o Must have successfully completed Microsoft Azure Community Champions program.

• Proficiency in Generative AI:

o In-depth knowledge of Generative AI models and their applications (e.g., GPT, DALL-E 2, Bard).

o Experience in integrating Generative AI models into data pipelines and applications.

• Data engineering and development skills:

o Expertise in data engineering best practices, including data modeling, data quality, data governance, and data security.

o Strong programming skills in Python and other relevant languages (e.g., Scala, SQL).

o Experience with data visualization and reporting tools (e.g., Power BI, Tableau).

• Strong analytical and problem-solving skills:

o Ability to analyze complex business problems and translate them into effective data solutions.

o Excellent analytical and problem-solving skills with a focus on data-driven decision making.

• Communication and collaboration skills:

o Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

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