Associate Data Architect - Virtusa Colombo

About the job

Associate Data Architect / Senior Lead Data Engineer

Key responsibilities & 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 adhere 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 & Ability:

• Communication – clients have 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 – the 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 clients at both a technical and cultural level. This role will be a mixture of hands-on development and thought leadership

Knowledge & Experience:

• 8 - 10 years working in a Data Engineering role
• Experience designing and using Azure capabilities and especially Analytics tools (incl. Synapse Analytics)
• Strong SQL knowledge, ideally with SQL Server and Azure SQL experience
• Experience in Python, Databricks, and ideally Spark
• Experience analyzing, cleaning, migrating and modelling data
• Experience working in an Agile environment

Qualifications - External

• Ability to articulate and advocate technology solutions effectively to technical and non-technical stakeholders while applying agile methodologies
• Proficiency in data interrogation and presentation of analysis results as part of team outputs
• Extensive experience as a senior software developer or engineer with a strong focus on Python development
• Strong expertise in SQL databases including PostgreSQL, SQL Server, and Databricks
• Comfortable working directly with databases without using Object Relational Mapping tools
• Experience working with data at scale and the associated technical challenges
• Proficiency with command line tools such as git, bash or zsh, and optionally vim
• An undergraduate degree or demonstrable knowledge in Computer Science, Software Engineering, Logic, Applied Statistics, Actuarial Science, Data Science, or related fields is preferred