Senior Data Engineer

Are you passionate about data, architecture, software development, and analytics? Do you bring deep experience with cloud technologies, data warehousing, data integration, data modeling, and API development? Do you believe in modern engineering practices, collaboration, and innovation to build the next generation of enterprise data and AI platforms? If so, we’d like to talk with you.

We are seeking a Manager Data Engineer /
Principal Data Engineer to help design, build, and evolve modern data solutions within our Enterprise Data and AI organization. This role is ideal for a strong technical leader with hands‑on experience delivering cloud‑based data platforms, scalable data pipelines, and enterprise data solutions that support analytics, reporting, data science, and AI use cases.

The ideal candidate will bring experience implementing data lakes, cloud data warehouses, and modern data engineering solutions, including data ingestion, transformation, standardization, preparation, data quality management, and structured and unstructured data processing. This role also requires experience with relational and No

SQL data technologies, large‑scale data integration, API development, and enterprise data modeling, including Data Vault.

Experience with modern cloud data platform technologies, data architecture, and software engineering practices is essential. Knowledge of AI/ML, data science, and LLM‑related use cases is also a plus. Knowledge of the insurance business data domain is a significant advantage, particularly in supporting solutions that enable Insurance Data and Analytics capabilities. This role will be responsible for creating, maintaining, and optimizing enterprise data pipelines and related processes that support strategic analytics, machine learning, and AI‑driven business capabilities across Insurance line of business.

The selected candidate will help build and advance critical platform capabilities, including Insurance Data and Analytics solutions, data ingestion and transformation frameworks, governance‑aligned data engineering processes, and trusted data foundations for analytics and AI. The ideal candidate will bring proven experience leading cloud data engineering initiatives, driving scalable solution design, and establishing strong engineering standards across complex enterprise environments.

The Work Itself

• Lead and manage the Data Engineering squad, focusing on scalable platforms and engineer growth.
• Design, build, and optimize modern data pipelines and enterprise data solutions that support analytics, reporting, data science, and AI use cases.
• Develop and implement cloud‑based data engineering solutions, including data lakes, cloud data warehouses, and enterprise data platforms.
• Design scalable data structures and support enterprise data storage using Data Vault modeling to enable flexible, auditable, and resilient data solutions.
• Build and support data ingestion, transformation, preparation, and quality processes across structured and unstructured data sources.
• Develop robust solutions for large‑scale data integration, relational and No
  
  SQL data processing, and API‑based data services.
• Enable trusted, high‑quality, and accessible data for analytics, machine learning, and AI‑driven business capabilities.
• Partner with business and technology teams to define data requirements, transformation rules, integration needs, and solution designs that align to enterprise and line‑of‑business priorities.
• Help advance Insurance Data and Analytics platform capabilities through scalable engineering, strong data foundations, and governance‑aligned practices.
• Establish and maintain data quality, validation, monitoring, metadata, and lineage processes to support reliable and well‑managed enterprise…