Azure Architect

Job summary

Design and deliver scalable, cost-effective cloud-native data solutions using Azure and Databricks, including workflow orchestration and CI/CD pipelines. Lead data strategy and modernization efforts, collaborate with customers and engineering teams, develop training materials, and establish DataOps and MLOps frameworks.

Job details

We are looking for Azure Architect , please do share suitable profiles. 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 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 deliver scalable, cost-effective cloud-native data solutions using Azure and Databricks, including workflow orchestration and CI/CD pipelines. Lead data strategy and modernization efforts, collaborate with customers and engineering teams, develop training materials, and establish DataOps and MLOps frameworks.

Requirements

Requires 15+ years of experience, including the last four years implementing end-to-end cloud-native data solutions, with strong Azure, Databricks, and PySpark expertise. Candidates should have experience with data governance, on-premises-to-cloud migration, data warehousing, cloud-native databases, and data engineering practices; Data Mesh and Data Products experience is an advantage.

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 Modernization
• Data Warehousing
• Business Intelligence
• Data Analytics
• Azure Data Factory
• Azure DevOps
• CI/CD
• DataOps
• MLOps
• Agile/Scrum

Job areas

• Technology
• Data & Analytics
• Software
• Consulting

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