Infomineo

Analytics & AI Architect (Casablanca)

Casablanca-Settat

CDI / Temps pleinHybrideMaster / Bac+5AnglaisData / BIInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Infomineo, a global AI-enhanced research company, is hiring a senior Analytics & AI Architect in Casablanca to lead the technical architecture of data, analytics, and AI solutions for clients. The role covers design through deployment, sets standards and frameworks for teams, and supports client engagements and pre-sales. Candidates need a master's degree, 6+ years of data architecture experience, and full English proficiency plus one additional language.

Vos missions

  • Design end-to-end data architectures, including data lakes, lakehouses, warehouses, and streaming pipelines.
  • Define standards for data modeling, storage, ingestion, and transformation, and architect MLOps and AI deployment infrastructure.
  • Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.
  • Define reusable frameworks and mentor cross-functional project teams in data engineering, analytics, and data science.
  • Lead architecture workshops, translate business requirements into technical blueprints, and present decisions to technical and executive audiences.
  • Provide internal training and support the Head of Practice on business development and capability initiatives.

Profil recherché

  • You have 6+ years of data architecture experience and enjoy defining standards that teams build upon.
  • You enjoy client-facing work, from architecture workshops to presenting to executive audiences.
  • You combine hands-on data platform and MLOps expertise with strong communication skills.
  • You are comfortable managing multiple client engagements with high autonomy and attention to detail.

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About Infomineo

Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. It serves leading consulting companies, Fortune 500 companies, and government entities through three services: AI and Data Advisory, Next-Gen Insights, and Resource Scaling. The company has 350+ industry experts across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).

About the role

This role offers the opportunity to design and shape the technical foundation of the Analytics & AI practice, working on high-impact client engagements across industries. As Analytics & AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI, defining the standards, frameworks, and architectures that teams build upon.

What you will do

Architecture & Design

  • Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines.
  • Define standards for data modeling, storage, ingestion, and transformation across client engagements.
  • Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring).
  • Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.

Team Enablement

  • Define best practices and reusable frameworks for data engineers, analysts, and data scientists.
  • Act as a technical mentor and reviewer for cross-functional project teams.
  • Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects.
  • Contribute to internal knowledge base, toolkits, and delivery accelerators.

Client Engagement

  • Lead architecture workshops and discovery sessions with client stakeholders.
  • Translate business requirements into scalable, robust technical blueprints.
  • Present architecture decisions to both technical teams and executive audiences.
  • Support pre-sales and proposal efforts with technical scoping and solution design.

Other

  • Provide internal training and knowledge-sharing sessions with the team.
  • Support the Head of Practice on business development and internal capability initiatives.

Who you are

Education & Professional Experience

  • Master’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field.
  • Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...).
  • 6+ years of technical experience in data architecture or a closely related field.
  • Proven track record in a consulting or multi-client services environment.

Technical Skills

Data architecture & platforms
  • Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift).
  • Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation.
  • Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent.
  • Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming).
AI & ML infrastructure
  • Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalent.
  • Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection.
  • Exposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines).
Data engineering & deployment
  • Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent.
  • Proven hands-on experience with container technologies: Docker, Kubernetes.
  • Proven hands-on experience with versioning software: Git, GitHub, GitLab.
  • Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud.
Governance & standards
  • Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management.
  • Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design.
Interpersonal skills
  • Ability to step back, analyze complex problems, define architectural options, and drive decisions.
  • Strong ability to work and collaborate with a variety of stakeholders across technical and business functions.
  • Excellent communication skills with the ability to translate complex technical architectures into clear business implications.
  • High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously.

What we offer

  • A competitive salary.
  • A great working environment.
  • A steep learning curve with interesting and diverse topics to work on.
  • A healthy work-life balance.
  • Health insurance benefits.

Equal opportunity employer

Infomineo is an equal opportunity employer and prohibits any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment, including recruiting, hiring, wages and salary, promotions, benefits, training and job termination.

If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.

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