Principal Solutions Architect at Paramount improving media platforms through design and AI technology. Overseeing MAM/PAM ecosystems and architecture for media supply chains.
About the role
- Solutions Architect leading the design and implementation of Data & AI solutions at Sanoma Learning. Collaborating with cross-functional teams to shape the future of learning.
Responsibilities
- Define and execute Data & AI architecture strategy, including setting Objectives and Key Results (OKRs)
- Ensure data and AI solutions deliver prioritized business value and align with enterprise architecture
- Evaluate and introduce modern data platforms, AI/ML frameworks, tools, and best practices
- Promote interoperability, scalability, and security across data and AI systems
- Design end-to-end solutions for data pipelines, analytics platforms, and AI/ML applications
- Collaborate with Engineering and Data Science teams to support implementation and integration
- Analyse dependencies and integration points across systems and products
- Contribute to solution documentation, gap analysis, and technical feasibility assessments
- Support the Architecture Competence in scoping and reviewing solution designs, guidelines, and ways of working
- Define and maintain standards for data governance, privacy, and ethical AI practices
- Ensure compliance with regulatory obligations and internal policies
- Promote data quality, lineage, and metadata management across platforms
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or related field
- 5+ years of experience in solution architecture or data/AI platform design
- Strong knowledge of cloud-native data architectures, APIs, and integration patterns
- Experience with data platforms (e.g. Snowflake, Databricks, BigQuery) and ML frameworks (e.g. TensorFlow, PyTorch)
- Familiarity with data governance tools and practices
- Experience working in agile environments
- Excellent collaboration and communication skills
Benefits
- A key role shaping strategy, technology, and data-driven innovation
- A collaborative, learning-oriented work environment
- Opportunities to work with cutting-edge technologies and modern projects
- Strong support for your professional growth and technical development
- Competitive salary and comprehensive benefits
- Flexible hybrid work model
Job title
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Experience level
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Not specified
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