Solutions Architect, Data & AI
Role details
Job location
Tech stack
Job description
We are looking for a highly skilled and visionary Solutions Architect to lead the design and implementation of scalable, secure, and interoperable Data & AI solutions across Sanoma Learning. This role combines strategic architecture leadership with hands-on solution design, focusing on data platforms, analytics, machine learning, and governance. You will collaborate with product teams, data scientists, engineers, and other architects to translate business needs into technical designs that support our mission to shape the future of learning., * 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., * 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.
Governance & Standards
- 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
Do you have a Master's degree?, 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
Expertise & Behaviours
Recognized expert in data and AI solution architecture Skilled in translating complex business needs into scalable technical designs Ability to promote work standards and best practices organization-wide Strong mediation and conflict resolution skills Excellent communication skills for conveying complex topics clearly Proven ability to build and maintain high-performing, engaged teams Strategic, innovation-focused mindset Passionate about data and AI, proactive in organizing related events Open to new ideas, committed to continuous learning Fosters a culture of ownership, learning, and feedback
Nice-to-Have Skills
Experience with MLOps and model lifecycle management Knowledge of data visualization tools (e.g. Power BI, Tableau) Familiarity with data privacy regulations (e.g. GDPR) Experience with real-time data processing (e.g. Kafka, Spark Streaming) Understanding of ethical AI principles and bias mitigation Background in education technology or learning analytics Proficiency in Python, SQL, and data modeling Experience with containerization and orchestration (e.g. Docker, Kubernetes)
Benefits & conditions
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