Senior Data Architect

The Role:

Senior Data Architect is required by vibrant London Market Insurance organisation. This is a key role within their data team that will see you help to drive forward challenging and exciting data initiatives. This role will help the organisation implement what is needed to deliver their strategic data platforms. Work will include, but not limited to the end-to-end support / data solution architecture design for acquisition, integration, transformation and secure storage of mission-critical data.  The role will entail working closely in partnership with large system integrators to support the delivery of the programs that align to data strategy.

Essential are sound technical skills, the ability to collaborate across teams both on/offshore, an operational / data solution architecture / delivery mindset, and self-management leadership skills.

Key Requirements:  

• Significant experience and in-depth knowledge of data solution architecture, data delivery and associated architecture principles, data modelling concepts, ETL/data pipelining procedures, and all steps of the data production process
• Prior experience in insurance and/or reinsurance or a closely related domain in support of specialty insurance lines is a necessity.
• Extensive hands-on experience in SQL, Python, Data Integration/Mass Ingestion/pipelining and associated patterns both on prem and in cloud environments along with associated tooling as well as the ability to design patterns that exploit the cloud capabilities of these tools. Examples include – Informatica IICS, ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms.
• Experience with one of more cloud service providers – AWS, Azure, or GCP.  Azure is preferred.
• Knowledge of serverless compute and intimate understanding of process run time (e.g., Spark versus ETL),
• Familiar with automating data pipelines and working closely with the DevSecOps organization for environment provisioning / setup,
• Strong Database management systems experience – SQL Server and Oracle for both cloud and on-premise options.
• Understanding of PAAS services relating to data, analytics, and integration interfaces – Databricks, etc.
• Experience in migrating data and associated systems from on-prem to Cloud environments
• Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus.
• Experience with MDM / RDM toolsets and associated architecture solutions.
• Experience with Data visualization tooling and exposing data through a consumption layer.
• Experience creating standards and guidelines as well as common data frameworks.
• Strong experience with designing cloud-based systems with efficiencies and a FinOps focus.
• Familiar with data profiling (quality), cataloguing, metadata, and data mapping

If you are looking to join a successful, growth organisation with technology and employee wellbeing at its core, please do get in touch.