AI & Analytics Architect (Freelance)

Casablanca, Casablanca-Settat, Morocco

Décryptage du poste par Postule AI

Résumé du rôle

Infomineo seeks an experienced AI & Analytics Architect to design and lead the technical foundation of data, analytics, and AI solutions for global clients. This freelance remote role requires 6+ years in data architecture, expertise in cloud platforms (Azure, AWS, GCP), MLOps infrastructure, and proven consulting experience. You'll architect end-to-end data solutions, mentor cross-functional teams, and engage directly with clients on high-impact engagements across industries.

Exigences clés (estimation)

Design end-to-end data architectures including data lakes, lakehouses, warehouses, and streaming pipelines for client engagements
Define technical standards and frameworks for data modeling, storage, ingestion, transformation, and MLOps across projects
Lead architecture workshops with client stakeholders and translate business requirements into scalable technical blueprints
Mentor cross-functional teams, act as technical reviewer, and bridge gaps between data engineers, analysts, and AI/ML engineers
Support pre-sales efforts with technical scoping, solution design, and proposal development

Compétences

Data platform architecture design (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift)SQL, Python, Scala, or Spark for data processing and transformationML lifecycle and MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML)Orchestration and transformation tools (Airflow, dbt)Container technologies (Docker, Kubernetes) and cloud deployment (AWS, Azure, GCP)Data governance frameworks and BI platforms (Power BI, Tableau, Looker)Big Data ecosystems (Hadoop, Spark, PySpark, Hive) and streaming architectures (Kafka, Flink)

Niveau estimé

Senior-level role requiring 6+ years of technical experience in data architecture or closely related fields, with proven track record in consulting or multi-client services environments. This is an architect-level position requiring both deep technical expertise and leadership capabilities.

Attributs détectés par l’IA (si absents de l’offre)

Type de poste: freelance
Mode de travail: Télétravail
Fonction: Data / BI
Secteur: Informatique / IT
Niveau d'études: Master / Bac+5
Langues: Anglais, Français, Arabe, Espagnol, Allemand

Cette analyse a été générée automatiquement par Postule AI à partir de l'offre.

About the Role

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

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 including model registries, CI/CD for ML, and 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 technical mentor and reviewer for cross-functional project teams
Bridge gaps 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 technical teams and executive audiences
Support pre-sales and proposal efforts with technical scoping and solution design

Required Qualifications

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

Technical Skills Required

Hands-on experience designing large-scale data platforms: data lakes, lakehouses, warehouses (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift)
Strong SQL and proficiency in Python, Scala, or Spark for data processing
Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive
Hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML
Experience architecting MLOps pipelines with model versioning, CI/CD for ML, monitoring, and drift detection
Hands-on experience with orchestration tools: Airflow, dbt
Proficiency with Docker, Kubernetes, Git, and cloud deployment (AWS, Azure, GCP)
Knowledge of data governance frameworks and BI platforms (Power BI, Tableau, Looker)

What We Offer

Competitive salary
Great working environment with steep learning curve
Diverse and interesting projects across industries
Healthy work-life balance
Health insurance benefits

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .