Data Engineering Architect

Position Summary

Seeking a senior Data Engineering Architect to drive the execution of our Data Strategy for our Insurance division. In this highly visible position, you will apply strong technical acumen and leadership in partnership with business counterparts to effectively define, plan, and deliver technical solutions that support business outcomes in service to the client's strategy. This is a player/coach role with hands-on experience that will lead a group of teams and be a strong engineering leader across the organization.

Area(s) of Responsibility

• Partner and work collaboratively with internal customers to understand strategic analytics and business intelligence needs and the associated enabling technology requirements.
• Lead the technology activities to enable the delivery of meaningful, actionable, data-driven capability in alignment with business strategies.
• Develop and lead the execution of the data and analytics technology strategies and roadmaps to optimize rapid delivery of information management capabilities, while aligning to established technology and architecture standards.
• Define and deliver the data & analytics architecture, tooling and capabilities needed to enable a modern cloud-based data environment and the best practices, governance, and controls to support the broad adoption and use across the enterprise.
• Drive the delivery of an exceptional customer/partner experience through ready access to data and intuitive self-service capabilities that ensures the security, integrity, and quality of data while enabling the agility and performance of a scaled ecosystem.
• Deliver enabling capability to support the rapid ingestion of new data and the timely deployment of advanced analytic models into production.
• Support the development of engineering capabilities that promotes sharing, inner sourcing, and reuse of code, capabilities, and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities.
• Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity.
• Manage the engagement/coordination across assigned delivery teams to ensure high quality project delivery within scope, timeframe, and budgets.