Solution Architect

• Translating business and data requirements into scalable technical architectures and implementation concepts
• Designing solutions to integrate and process structured data within BDAP, Databricks and analytical database environments
• Designing data pipelines and processing logic for the transformation, enrichment and harmonization of data
• Designing analytical data models and reusable data products for analytics and downstream business applications
• Architecting and guiding Databricks-based data engineering solutions and processing workflows
• Defining reusable architecture and integration patterns for data processing, persistence and consumption
• Supporting business projects end-to-end from requirements engineering and solution design to implementation and productive rollout
• Collaborating closely with data engineers and development teams to ensure maintainable, secure and scalable implementations
• Ensuring alignment with enterprise architecture, data governance, security and data quality requirements
• Supporting operational excellence and continuous optimization of analytical data solutions regarding performance, scalability and cost
• Help drive forward good Conduct for the business to deliver the best outcomes for customers / policyholders.

Responsibilities:

• Translating business and data requirements into scalable technical architectures and implementation concepts
• Designing solutions to integrate and process structured data within BDAP, Databricks and analytical database environments
• Designing data pipelines and processing logic for the transformation, enrichment and harmonization of data
• Designing analytical data models and reusable data products for analytics and downstream business applications
• Architecting and guiding Databricks-based data engineering solutions and processing workflows
• Defining reusable architecture and integration patterns for data processing, persistence and consumption
• Supporting business projects end-to-end from requirements engineering and solution design to implementation and productive rollout
• Collaborating closely with data engineers and development teams to ensure maintainable, secure and scalable implementations
• Ensuring alignment with enterprise architecture, data governance, security and data quality requirements
• Supporting operational excellence and continuous optimization of analytical data solutions regarding performance, scalability and cost
• Help drive forward good Conduct for the business to deliver the best outcomes for customers / policyholders.

Knowledge And Skills

• Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps).
• Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner.
• Experience with mass ingestion capabilities and cloud process flows, data quality and master data management
• Understanding data related security challenges and tooling with specific technologies (e.g. Databricks)
• Experience in migrating data and associated systems from on-prem to Cloud environments
• Consulting and collaborative working style creating a culture of accountability and sharing.
• Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus.
• Excellent verbal and written communication coupled with negotiation skills.
• Ability to work in a demanding and fast-paced environment.
• Lloyds/Company Market (re)insurance experience with a good knowledge of products and markets

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