Enterprise Data Architect

Indiana Farm Bureau Incorporated - Indianapolis, IN

Full-time - Mid Level

Indianapolis, IN

Insurance Carriers and Related Activities

About the position

We are looking for an experienced Enterprise Data Architect to be accountable for designing, developing, and maintaining the enterprise-wide data architecture, which encompasses analytics, reporting, transactional, and operational data systems. This role is crucial as it leads the organization's data transformation initiatives, aligning with our shift towards a SaaS model and preparing our data infrastructure for the next 5-10 years. The Enterprise Data Architect will drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches. In this position, you will design and implement integration strategies and event-driven architectures to connect distributed applications, ensuring data quality and effectiveness across the enterprise. You will also participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions. Developing strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications will be a key responsibility. Establishing and enforcing data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices, is essential. Collaboration with business and IT stakeholders to align data architecture with overall business strategy and objectives is expected. You will need to navigate complex organizational dynamics to drive data-related initiatives and transformations effectively.

Responsibilities

• Design, develop, and maintain the enterprise-wide data architecture.
• Lead the organization's data transformation initiatives towards a SaaS model.
• Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures.
• Design and implement integration strategies and event-driven architectures.
• Participate in the transition of transactional operations from mainframe systems to agile solutions.
• Develop strategies for self-service analytics and advanced AI/ML/GenAI applications.
• Establish and enforce data discipline, including data governance and MDM.
• Collaborate with business and IT stakeholders to align data architecture with business strategy.
• Navigate complex organizational dynamics to drive data-related initiatives.

Requirements

• Minimum of an associate's degree in a related field, with a bachelor's degree preferred.
• Minimum of 8-10 years of relevant work experience in enterprise data architecture.
• Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.
• Proven expertise in integration architectures and event-driven systems.
• Strong understanding of various integration patterns, messaging systems, and event streaming platforms.
• Experience in designing and implementing data quality processes within integration and event-driven architectures.
• Proven track record of leading enterprise-wide data transformation initiatives.
• Deep understanding of data governance principles, MDM, and data management best practices.
• Strong knowledge of cloud-based data solutions and SaaS architectures.
• Experience in preparing data infrastructure for AI/ML and self-service analytics capabilities.
• Excellent communication and presentation skills.
• Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.
• Proficiency in creating and maintaining architecture artifacts such as data flow diagrams and data models.
• Strong foundational background in data integration, data quality, and data security principles.
• Experience with Agile methodologies and DevOps practices in data architecture.

Nice-to-haves

• Experience in providing strategic consultation to business and IT teams on data-related initiatives.
• Ability to research and evaluate emerging data technologies and their potential application.