Description :

The Data & AI Architect is responsible for designing and guiding the implementation of scalable data platforms, AI/ML systems, and cloud-native architectures. This role bridges data engineering, data science, and enterprise architecture, ensuring that data and AI solutions are robust, secure, efficient, and aligned with business objectives.

Requirements :

- Strong hands-on background in data engineering, analytics, or data science.

- Expertise in building data platforms using :

Cloud :

- AWS (Glue, S3 Redshift), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow), Compute: Spark, Databricks, Flink, Data modelling: dimensional, relational, NoSQL, graph.

- Proficiency with Python, SQL, and data pipeline orchestration tools.

- Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

- Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

- 8+ years of experience in data engineering, data science, or architecture roles.

- Experience designing enterprise-grade AI platforms.

- Certification in major cloud platforms (AWS/Azure/GCP).

- Experience with governance tooling (Collibra, Alation) and lineage systems.