Senior Solution Architect - Data, Analytics and AI

Scope

This job posting is to fill an existing vacancy within our organization.

What You’ll Do

• Partner with clients and stakeholders to understand business processes, identify opportunities, and define AI-driven solutions
• Act as a trusted technical advisor, translating complex business needs into scalable data and AI architectures
• Lead client-facing workshops, presentations, demos, and proof-of-concept engagements
• Clearly communicate technical concepts, progress, and outcomes to both technical and non-technical audiences
• Design end-to-end data, analytics, and AI/ML solutions across cloud and hybrid environments
• Select and apply appropriate tools, frameworks, and best practices for each engagement
• Define data architectures including data lakes, warehouses, and real-time processing systems
• Work in agile, cross-functional teams including data scientists, engineers, and developers
• Contribute to a collaborative, knowledge-sharing team environment
• Manage multiple pursuits and priorities in a fast-paced setting
• Ensure high-quality, production-ready deliverables and strong client satisfaction

Technical Competences

• Extensive experience (10+ Yrs.) in designing end-to-end data, analytics and AI solutions from ingestion, ETL, storage retrieval, integration, processing, analysis, and presentation.
• Demonstrated experience in designing Machine Learning, Data Science, GenAI, and Agentic AI solutions including the use of supervised and unsupervised learning models/algorithms. MCP, RAG, VLM, and multi-agent architecture.
• Demonstrated expertise creating and presenting solutions to customers in a pre-sales, technical sales support, and/or technical offering role
• Extensive experience defining and documenting data architecture, relational and non-relational data modeling (conceptual, logical, and physical) within varying business domains and scenarios
• Extensive experience with relational databases like Oracle or Microsoft SQL Server and with NoSQL databases like MongoDB, Cassandra
• Hands-on experience designing end-to-end data ETL pipelines and processes
• Experience with defining data security architecture and standards, encryption at rest, and transit
• Experience in the design and development of master data management and data governance solutions
• Experience in defining modern data architecture on public and hybrid clouds like Azure, AWS, OpenShift
• Experience with real-time streaming methodologies like pub-sub, queues
• Experience with big data technologies and frameworks like Hadoop, HDFS, Kafka, Spark, MLops
• Experience with analytics and business intelligence platforms that provide the ability to design self-service analytics, dashboards, and cubes
• Technical proficiency in database languages like SQL, PL/SQL, T-SQL
• Technical proficiency in object-oriented programming languages like C#, Java
• Technical proficiency in scripting languages like Python, JavaScript
• Experience in User Interface and User Experience design
• Experience with IoT solutions and integration solutions
• Experience in CI/CD DevOps for data analytics solutions
• Awareness and familiarity with application transformation technologies as Kubernetes, Docker, and Pivotal Cloud Foundry
• Experience in building solutions based on microservice / serverless architecture
• Experience in building web services using RESTful framework

Soft Skills

• Developing consensus-based solutions with internal and customer architects
• Creating professional design documents and presenting the solution to stakeholders
• Ability to articulate pros & cons of design decisions, accept corrections and direct the team to rapidly conclude the best possible solution
• Communicating orally, in writing, and in presentation to deliver a concise, thoughtful, and powerful message
• Initiating customer engagement and demonstrating thought leadership
• Maintaining and enforcing compliance with corporate and client enterprise and data security standards
• Proactively identifying process improvement opportunities, challenging conventional practices, and adopting new methods and best practices.
• Demonstrating leadership skills and the ability to interact and lead people in a matrixed organization – tact and diplomacy are essential attributes
• Leading and working with on-shore and off-shore teams to achieve project goals and milestones
• Understanding of commercial and financial aspects of creating customer solutions
• Ability to work under pressure and demonstrably action oriented

Qualifications

• Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
• Minimum 10 years of Data/ ML engineer and solution experience, ideally in a global environment.
• A minimum of 3 years of pre-sales or technical sales support experience

Mobility and Conditions

• Legally entitled to work in North America (US or Canada), with an ability to travel throughout both regions as/when needed. (Some global travel to other regions may at some point be required).
• Language: Fluent in English (speaking / writing). French for Canada would be an asset.