28 set - Bardi
Ntt Data
As an Azure Data Architect at NTT Data, you design and operate cloud-native data processing systems with emphasis on security, scalability, reliability, and portability. You collaborate with business analysts and solution architects to translate use cases into robust data pipelines and data lakes for analytics and AI models. You bridge Data Science and Data Engineering, delivering practical, innovative solutions and driving continuous improvement in a multinational, cross-cultural setting.Design, build, and operationalize data processing systems with strong security and complianceDeliver data acquisition, transformation, cleansing, conversion, compression,
and loading into data lakes for analytics/MLCollaborate with business analysts and solution architects to understand use cases and data needsMigrate workloads from on-premises to cloud environmentsMonitor distributed data infrastructure and pipelines using Azure tools or open-source solutionsPrototype proofs-of-concept to address specific business needsServe as a bridge between Data Science and Data Engineering to align both domainsShare innovative, simple data solutions with the teamCloud-native experience in at least one major public cloud (GCP/AWS/Azure)5+ years on Azure preferredExperience with Big Data architectures, cloud and on-premiseAzure infrastructure and networking experienceProven ability to build/deliver proofs-of-concept for business needsExperience migrating workloads from xysqume on-prem to cloudExperience monitoring distributed infrastructure (Grafana, Prometheus, Azure tools)Proficient in Java, Scala, Python, and shell scriptingSQL knowledgeExperience with Agile methodology and KanbanExperience leading medium-sized teamsExperience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure ETL/ELT toolsThinking outside the boxCross-functional collaborationDatabricks#J-18808-Ljbffr
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