Summary

We are seeking a highly skilled and experienced Senior Solution Architect II, possessing expertise in Data and Artificial Intelligence, to spearhead our data and AI-ML roadmaps. This pivotal role involves close collaboration with the enterprise data and AI team to drive innovation and implement cutting-edge solutions. The successful candidate will be instrumental in shaping the future of our data and AI capabilities.

Key Responsibilities

• Assume a leadership position in the design and implementation of comprehensive data and AI solutions, aligning with overall business objectives and strategic goals.
• Collaborate closely with cross-functional teams, including data scientists, data engineers, and business stakeholders, to gather requirements and translate them into actionable technical specifications.
• Develop and maintain detailed architectural blueprints, encompassing data pipelines, machine learning models, and AI-powered applications, ensuring scalability and maintainability.
• Provide technical guidance and mentorship to junior architects and engineers, fostering a culture of continuous learning and knowledge sharing within the team.
• Evaluate and recommend emerging technologies and industry best practices in the fields of data management, artificial intelligence, and machine learning, driving innovation and efficiency.
• Lead the development of proof-of-concept projects to validate new technologies and architectural patterns, demonstrating their potential value to the organization.
• Ensure adherence to data governance policies and security standards, safeguarding sensitive information and maintaining compliance with regulatory requirements.
• Participate actively in architectural review boards, providing expert feedback and guidance on proposed solutions, ensuring alignment with enterprise standards.
• Contribute to the development of data and AI strategies, roadmaps, and budgets, aligning with overall business priorities and resource constraints.
• Stay abreast of the latest advancements in data and AI technologies, attending conferences, workshops, and training sessions to enhance your knowledge and skills.

Additional Requirements

• Proficiency in SAP data landscape and environment, including hands-on experience with SAP data integration tools and technologies
• Experience integrating AI solutions with SAP systems, including the utilization of SAP Joule
• In-depth understanding of SAP data models and data governance principles, ensuring compliance with organizational standards
• Familiarity with SAP Analytics Cloud and other SAP reporting tools, enabling data-driven decision-making
• Knowledge of SAP Business Technology Platform and its capabilities for developing and deploying AI solutions
• Experience with SAP Leonardo and its AI/ML capabilities, leveraging pre-trained models and custom development
• Ability to collaborate effectively with SAP consultants and developers, ensuring seamless integration of AI solutions into the SAP ecosystem
• Strong understanding of data security and privacy considerations within the SAP environment, implementing appropriate safeguards
• Experience with SAP data migration and transformation projects, ensuring data quality and consistency
• Ability to stay up-to-date with the latest SAP technologies and trends, continuously learning and adapting to new developments

Critical Qualifications

• A bachelor's degree in computer science, data science, or a related field is absolutely essential for this important position.
• Possession of at least ten years of professional experience in data architecture, data engineering, or a related role is absolutely required.
• Extensive hands-on experience with cloud-based data and AI solutions
• Deep understanding of machine learning algorithms, statistical modeling techniques, and data visualization tools is exceptionally critical for success.
• Proven ability to design and implement scalable data pipelines using technologies such as Apache Spark, Apache Kafka, and Apache Flink is extremely important.
• Experience with generative AI models such as Google Gemini for data solutions and Amazon Q for data solutions is extraordinarily valuable in this position.
• Strong knowledge of data warehousing concepts, data modeling techniques, and database management systems, including both relational and NoSQL databases is critical.
• Familiarity with data governance principles, data quality management practices, and data security protocols is extraordinarily important in this role.
• Excellent communication, interpersonal, and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences is extremely important.
• Relevant certifications, such as AWS Certified Solutions Architect or Google Cloud Certified Professional Data Engineer, are highly desirable and extremely valuable.

Preferred Qualification

• A master's degree or doctorate in computer science, data science, or a related field is certainly considered advantageous for this position.
• Experience with big data technologies such as Hadoop, Hive, and Pig
• Familiarity with DevOps practices, including continuous integration and continuous delivery
• Knowledge of containerization technologies such as Docker and Kubernetes
• Experience with data science platforms such as Databricks, SageMaker, and Azure Machine Learning
• Familiarity with data privacy regulations, such as GDPR and CCPA
• Experience with graph databases and knowledge graph technologies
• Strong analytical and problem-solving skills, with the ability to identify and resolve complex technical issues is a definite plus.

Additional Details

Working Conditions:

• Bilingual (French & English) is an asset
• full-time role
• Available to work occasional weekends for deployments and evenings to address unexpected urgent issues
• Occasional travel in support of project delivery work