As a Senior Azure Data Architect - Senior Azure Data Engineer, you will be responsible for building a modern data platform and designing, developing, implementing, and maintaining a scalable production-level data transformation path.

You will be required to learning-depth about the solution architecture, data architecture, data management, storage, data governance, and data publishing. All of this is packaged in a fully automated DevOps pipeline.

• Experience in a data architecture or data-driven role in the financial industry(as an external consultant or internal expert)
• Deep knowledge of the Microsoft Azure data stack (e.g. Azure Databricks, Delta Lake, Azure Data Factory, Azure Storage, Azure SQL Database, Azure Overview) and integration standards
• BSc or MSc degree (preferably in Mathematics, Computer Science, Economics, Physics, Business Research, or a related field)
• Knowledge of data analysis tools and techniques(SQL, Python, PySpark)
• Knowledge of tools and programming languages used to analyze large datasets in the Hadoop ecosystem (Spark, Hive, Pig)
• Experience in creating data pipelines to integrate different applications and systems (ETL)
• Eagerness to learn new tools and software solutions
• Excellent knowledge of the English language
• Strong interpersonal and communication skills – essential for working with clients and teams on a daily basis

Optional

• Ability to design and model data structures to effectively support complex systems
• Experience in creating real-time/streaming data pipelines
• Experience developing using agile methodologies such as Scrum and Kanban
• Interest in artificial intelligence and data science

• Design, develop, and maintain data solutions on the Azure platform
• Develop and maintain ETL pipelines using Azure Data Factory, Azure Databricks, and other Azure services
• Develop and maintain data processing solutions using Azure Stream Analytics, Azure Event Hubs, and other Azure services
• Develop and maintain data warehousing solutions using Azure Synapse Analytics and Azure SQL Data Warehouse
• Develop and maintain data visualization solutions using Power BI and other Azure services
• Collaborate with data science and software development teams to ensure that our data solutions meet the business requirements
• Develop and maintain documentation for data solutions
• Optimize data solutions for performance and scalability
• Implement data security and privacy measures to ensure compliance with regulations
• Monitor data solutions for issues and provide solutions