Hybrid Data Architect

Posted 12 minutes ago

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About the role

  • Architecte de Plateforme Data chez Klee Group, soutenant les clients dans leurs projets data. Travaillant au sein de l'équipe IA & Data avec des méthodes Agile et des solutions modernes.

Responsibilities

  • Advise and support clients in all phases of implementing a data platform
  • Scope and design SQL & NoSQL architectures (sources, use cases, modeling, governance)
  • Audit existing environments
  • Evaluate solutions, run POCs, conduct benchmarks
  • Define plans and roadmaps
  • Plan and manage Data projects (scheduling, resources, financial estimates, reporting and KPI monitoring, Agile and V-model approaches)
  • Design Data platforms (cloud and on-premises) and transformation processes (ETL, batch, real-time, streaming, integration with business applications)
  • Implement and industrialize solutions (CI/CD, DataOps, MLOps, FinOps, observability, reliability, automation)
  • Establish governance (access policies, accountability, compliance, traceability, data sovereignty)
  • Provide technical leadership to our teams: mentor and coach technical teams (Data Engineering/Data Analytics/Data Science), deliver training sessions, share lessons learned, conduct architecture reviews, make technical and economic trade-offs, and animate communities.

Requirements

  • Master's degree (engineering school or university with a scientific/technical focus)
  • Minimum 8 years of experience
  • Experience designing and implementing modern data platforms such as Data Lake, Data Lakehouse, Data Warehouse
  • Knowledge of major market solutions (Databricks, Snowflake, Azure Fabric, AWS Redshift, GCP BigQuery, SQL Server, etc.)
  • Familiarity with transformation and orchestration tools (dbt, Spark, Kafka/Confluent, Airflow) and modern formats (Delta Lake, Iceberg, Parquet)
  • SQL and Python: expertise in querying and scripting
  • Expertise in relational modeling (3NF), dimensional modeling (Kimball), and Data Vault
  • Experience integrating with business systems (BI, EPM, CRM, ERP), AI tools (including Generative AI and RAG), and visualization tools
  • Data governance: catalog, MDM, lineage, quality, compliance
  • Experience with DataOps, MLOps, CI/CD tooling (Git, Jira, Terraform, Kubernetes, MLflow…)
  • Knowledge of organizational paradigms such as Data Mesh (domains, products, ownership, data contracts)
  • Advanced architect-level certifications are strongly preferred

Benefits

  • Autonomy
  • Hybrid work
  • Supportive management

Job title

Data Architect

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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