Job Description

Roles & Responsibilities

Context: As part of our project, we are recruiting an Analytics and AI Architect to strengthen our Analytics and AI Services department in Casablanca. Responsibilities: Design end-to-end data architectures (data lakes, lakehouses, warehouses, streaming pipelines); Define standards for data modeling, storage, ingestion, and transformation; Architect the MLOps infrastructure and AI deployment (model registries, CI/CD ML, monitoring); Lead technical choices on cloud platforms (Azure, AWS, GCP) and open-source tools; Define best practices and reusable frameworks for data teams; Act as a technical mentor and reviewer on cross-functional projects; Facilitate architecture workshops with client stakeholders; Translate business needs into scalable technical blueprints; Present architectural decisions to technical teams and management committees; Participate in pre-sales activities (technical scoping, cost estimation).

Desired Candidate Profile

• Master en informatique, data engineering, software engineering ou math matiques appliqu es
• Anglais courant + une autre langue (fran ais, arabe, espagnol, allemand)
• 6+ ans d exp rience technique en architecture data ou domaine connexe
• Exp rience av r e en environnement conseil ou services multi-clients
• Technical Skills: Data Architecture & Platforms Large-scale data platform design (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift) Advanced SQL and Python / Scala / Spark Big Data ecosystem: Hadoop, Spark, PySpark, Hive Streaming architectures (Kafka, Flink, Spark Streaming) AI & ML Infrastructure ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML MLOps architectures (versioning, ML CI/CD, monitoring, drift detection) GenAI / LLM integration patterns (RAG, vector databases, prompt pipelines) Data Engineering & Deployment Orchestration: Airflow, dbt Containerization: Docker, Kubernetes Version control: Git, GitHub, GitLab Cloud: AWS, Azure or GCP Governance & Standards Data catalogs, traceability (lineage), access control, BI quality management: Power BI, Tableau, Looker (mantic layer)