Azure Data Architect - Extremely Urgent

Must Live in TORONTO- Canada

Role And Responsibilities

• Experience in designing and architecting end to end Analytics solution in Azure Cloud.
• Design and build data processing components and systems utilizing cloud compute technologies including Azure Cloud.
• Design requirement driven data models such as dimensional ,relational and data vault.
• Build ELT/ETL pipelines using workflow management applications such as Azure Synapse, Azure Data Factory and distributed computing such as Synapse , Databricks Spark .
• Acquire, analyze, combine, synthesize, and store data from a wide range of internal and external sources as it pertains to system development.
• Builds and tests CI/CD deployment pipelines for data system components.
• Develops and supports monitoring solutions for data systems and components.
• Partner with business and technical leaders to prioritize data needs to expand analytics solution capabilities.

Qualifications And Education Requirements

• 15 years of Industry experience
• 7+  years in data engineering , data warehousing or related field.
• Deep understanding relational database systems , modern Datawarehouse platforms like Azure SQL Synapse.
• Understanding of data lake design, implementation is required.
• Mastery of SQL, Data warehouse design and implementation experience in cross-functional area like Sales & Distribution, Supply Chain , Finance , Marketing etc.
• Experience building and automating data system components that enable:
• Data acquisition, cleansing, and persistence engineering
• Experience with Azure technologies such as Storage solutions Azure Blob storage , Azure Data Lake Storage gen2 , Azure SQL Database etc.
• Experience with Visualization tools like Power BI will be preferred.
• Monitoring the performance of data analysis and system components
• Versioning of data snapshots, data lineage, schemas, and overall database systems
• Deployment through a CI/CD pipeline with Azure DevOps preferred
• Strong PowerShell and cloud compute skills.
• Experience with analytics tools such as Databricks Spark, PySpark etc.
• Experience with modern CI/CD pipeline technologies involving git repositories, static code analysis, test-driven development etc.
• Experience in the full data engineering life-cycle, from business understanding to building operational systems.
• Understanding and experience navigating all types of database models and DBMS's.
• Must have excellent data problem solving skills, communication skills and can execute alone but is an awesome team player.
• Big picture approach a plus - able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
• Consulting experience a plus - role includes client-facing meetings and communication.
• Excellent teamwork, coordination, influencing and communication skills.
• Ability to develop timely and effective solutions for challenging design problems.
• B.S. degree in Computer Science related fields