Solution Architect (Data & Analytics) (Ref 25970)
Responsibilities
• Architect end-to-end solutions that meet both business and technical requirements, with a focus on data virtualization, advanced analytics, and media workflows.
• Lead solution design involving tools such as Denodo, Dataiku, and FFmpeg, ensuring interoperability, performance, and scalability.
• Translate business needs into technical architecture and solution blueprints across data ingestion, transformation, modeling, and visualization layers.
• Collaborate with Data Engineers, Architects, Developers, and Stakeholders to drive the successful implementation of solutions.
• Conduct solution assessments, identify risks and gaps, and propose technical alternatives where needed.
• Support pre-sales or early engagement discussions with clients/stakeholders where solution design is required.
• Provide governance, review, and guidance on ongoing project delivery to ensure adherence to architecture principles and standards.
• Stay current on emerging technologies and trends in data, AI/ML, and media processing, and evaluate their potential fit.
Requirements
• Degree in Computer Science or Information technology or equivalent.
• 6+ years of experience in solution architecture, systems integration, or enterprise architecture roles.
Demonstrated experience in designing and implementing solutions using:
o Denodo or other data virtualization platforms
o Dataiku or similar analytics/data science platforms
o FFmpeg or tools for multimedia data ingestion and processing
• Solid knowledge of data platforms (e.g., data warehouses, data lakes), cloud services (AWS, GCP, or Azure), and modern data stacks.
• Strong understanding of data integration patterns, API design, and performance optimization techniques.
• Ability to balance technical depth with business understanding to recommend pragmatic solutions.
• Excellent communication and stakeholder management skills, with the ability to present to both technical and non-technical audiences.
Licence no: 12C6060
Responsibilities
• Architect end-to-end solutions that meet both business and technical requirements, with a focus on data virtualization, advanced analytics, and media workflows.
• Lead solution design involving tools such as Denodo, Dataiku, and FFmpeg, ensuring interoperability, performance, and scalability.
• Translate business needs into technical architecture and solution blueprints across data ingestion, transformation, modeling, and visualization layers.
• Collaborate with Data Engineers, Architects, Developers, and Stakeholders to drive the successful implementation of solutions.
• Conduct solution assessments, identify risks and gaps, and propose technical alternatives where needed.
• Support pre-sales or early engagement discussions with clients/stakeholders where solution design is required.
• Provide governance, review, and guidance on ongoing project delivery to ensure adherence to architecture principles and standards.
• Stay current on emerging technologies and trends in data, AI/ML, and media processing, and evaluate their potential fit.
Requirements
• Degree in Computer Science or Information technology or equivalent.
• 6+ years of experience in solution architecture, systems integration, or enterprise architecture roles.
Demonstrated experience in designing and implementing solutions using:
o Denodo or other data virtualization platforms
o Dataiku or similar analytics/data science platforms
o FFmpeg or tools for multimedia data ingestion and processing
• Solid knowledge of data platforms (e.g., data warehouses, data lakes), cloud services (AWS, GCP, or Azure), and modern data stacks.
• Strong understanding of data integration patterns, API design, and performance optimization techniques.
• Ability to balance technical depth with business understanding to recommend pragmatic solutions.
• Excellent communication and stakeholder management skills, with the ability to present to both technical and non-technical audiences.
Licence no: 12C6060