Azure Senior Data Architect - Virtusa Colombo 09

About the job 

Key Responsibilities and Accountabilities:

• Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
• Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities, such as pipelines
• Creating standards and patterns to ensure that future development adheres to a high-quality fit-for-purpose framework
• Defining features and capabilities to move the dial on data usage within the insurance industry
• Providing governance and consultancy to users of the data platform and data-related questions

Skills and Ability:

• Communication client has a broad range of stakeholders with a commitment to becoming data-driven. The successful candidate will need to be able to work with a broad stakeholder group and align multiple viewpoints
• Collaborative client prides itself on its collaborative culture, and data engineers will regularly interact with other technical teams and business users
• Willingness to learn, the successful candidate will be expected to propose new approaches and prototype solutions
• Influence A key part of this role will be to influence the strategic usage of data within the client at both a technical and cultural level. This role will be a mixture of hands-on development and thought leadership
• Knowledge and Experience
• 5 plus years working in a Data Engineering role
• Experience designing and using Azure capabilities and especially Analytics tools, including Synapse Analytics
• Strong SQL knowledge, ideally with SQL Server and Azure SQL experience
• Knowledge of Python and ideally Spark
• Experience analyzing, cleaning, migrating, and modeling data
• Experience working in an Agile environment

Qualification: 

• Over 3 years in a Data Engineering role
• Proven experience with Azure, particularly Analytics tools, including Synapse Analytics
• Strong SQL skills, ideally with SQL Server and Azure SQL
• Familiarity with Python and preferably Spark
• Background in analyzing, cleaning, migrating, and modeling data
• Experience working in Agile environments