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.