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
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