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Azure Architect

J-RAM IT Consulting Inc.United States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
Apache SparkETLMLOpsScrumDatabricksHadoopKafkaAzureAgileCI/CDAzure DevOps

Job description

Job Title:       Azure Architect
Location:     Canada - Remote Role
Requirements:
  • Should have 15+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
  • Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
  • Experience with Databricks, PySpark, and modern data platforms.
  • Proficiency in cloud-native architecture and data governance.
  • Strong experience in migrating from on premises to cloud solutions (Spark, Hadoop to Databricks).
  • Understanding Agile/Scrum methodologies.
  • Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
  • Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
  • Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques
  • Data Mesh and Data Products designing, and implementation of knowledge will be an added advantage.
Responsibilities:
  • Develop modern data solutions and architecture for cloud-native data platforms.
  • Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.
  • Lead data strategy sessions focused on scalability, performance, and flexibility.
  • Build CI/CD pipelines for Databricks in Azure DevOps.
  • Collaborate with customers to implement solutions for data modernization.
  • Create training plans and learning materials to upskill VM associates.
  • Develop industry-specific and domain-oriented solutions for customer data needs.
  • Build a smart operations framework for DataOps and MLOps.

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