This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The position involves designing and implementing data architecture solutions using Databricks, cloud technologies, and industry-standard practices. It requires a solid understanding of data integration, data modeling, data warehousing, and big data technologies, with emphasis on enterprise environments and cloud services.
Job Responsibility:
Designing the E2E architecture of unified data platform covering all aspects of data lifecycle
handling Enterprise Architecture practice for a specific sector
managing and mentoring architecture talent
delivering architecture initiatives showcasing business efficiency
developing architecture roadmaps
delivering technological design blueprints
hands-on development and designing applications using Databricks
delivering solutions for cloud-centric environments based on industry standards
setting best practices around Databricks CI/CD
coordinating complex system dependencies
guiding project teams by building consensus
Requirements:
Azure Databricks
Azure data lake
Ansible
SQL
Terraform
Kafka
Azure CLI
Databricks CLI
PowerShell
Bash
Python
Scala
Data warehousing
Databricks Lakehouse concept
cluster optimization
Batch and streaming data pipeline design
Spark and Hive data processing framework
cloud services like ADLS/S3, ADF/Lambda, Cloud databases
Databricks CI/CD best practices
machine learning tools such as mlFlow
Databricks AI/ML
Azure ML
AWS SageMaker
performance optimization skills
cross-platform team collaboration
understanding composable architecture
SAFe Agile methodology
Nice to have:
Rest API knowledge
understanding around cost distribution
knowledge of migration project to build Unified data platform
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