Azure Architect

Job summary

Design and develop cloud-native data solutions, build cost-effective Databricks infrastructure, and orchestrate workflows using Databricks and Azure Data Factory. Lead data strategy and modernization efforts, create Azure DevOps CI/CD pipelines, develop training materials, and establish DataOps and MLOps operations frameworks.

Job details

Azure Architect Remote ,Canada Contract Virtual 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 of 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 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.

What you’ll do

Design and develop cloud-native data solutions, build cost-effective Databricks infrastructure, and orchestrate workflows using Databricks and Azure Data Factory. Lead data strategy and modernization efforts, create Azure DevOps CI/CD pipelines, develop training materials, and establish DataOps and MLOps operations frameworks.

Requirements

Requires 15+ years of experience, including the last four years implementing end-to-end cloud-native data solutions, with strong expertise in Azure, Databricks, PySpark, and modern data platforms. Candidates should also have experience with cloud migration, data governance, data warehousing, data processing frameworks, and collaboration across data engineering, management, BI, and analytics teams.

Listed skills

• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Azure Architecture
• Databricks
• PySpark
• Cloud-Native Architecture
• Data Engineering
• Data Governance
• Data Warehousing
• Data Migration
• Azure Data Factory
• Azure DevOps
• CI/CD
• ETL
• Kafka
• DataOps
• MLOps
• Agile/Scrum

Job areas

• Technology
• Data & Analytics
• Software
• Consulting
• Management & Leadership

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