Enterprise Data Architect

Indiana Farm Bureau Insurance

Jul 11

Applications are closed

Job
Full-time
Senior & Expert Level
Data
Indianapolis

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, with a strong focus on modern data technologies.
Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.
Proven expertise in integration architectures and event-driven systems, with a track record of implementing such solutions in complex enterprise environments.
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, with the ability to translate complex technical concepts for both technical and non-technical audiences.
Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.
Proficiency in creating and maintaining architecture artifacts such as data flow diagrams, logical models, and physical data models.
Strong foundational background in data integration, data quality, and data security principles.
Experience with Agile methodologies and DevOps practices in the context of data architecture.
Ability to research and evaluate emerging data technologies and their potential application within the organization.
Skilled in providing strategic consultation to business and IT teams on data-related initiatives.

Responsibilities

Be accountable for designing, developing, and maintaining the enterprise-wide data architecture, encompassing analytics, reporting, transactional, and operational data systems.
Lead 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.
Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches.
Design and implement integration strategies and event-driven architectures to connect distributed applications and ensure data quality and effectiveness across the enterprise.
Participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions.
Develop strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications.
Establish and enforce data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices.
Collaborate with business and IT stakeholders to align data architecture with overall business strategy and objectives.
Navigate complex organizational dynamics to drive data-related initiatives and transformations.

FAQs

What are the primary responsibilities of the Enterprise Data Architect?

The primary responsibilities include designing, developing, and maintaining the enterprise-wide data architecture, leading data transformation initiatives, driving the adoption of modern data technologies, implementing integration strategies, and establishing data governance and management practices.

What qualifications are required for this position?

A minimum of an associate’s degree in a related field is required, with a bachelor’s degree preferred. Additionally, candidates should have 8-10 years of relevant work experience in enterprise data architecture, particularly with modern data technologies.

What experience is necessary regarding Data Lake and Data Lakehouse architectures?

Candidates must have extensive experience in designing and implementing Data Lake and Data Lakehouse architectures, demonstrating a shift away from traditional data warehouse approaches.

What is the significance of integration architectures and event-driven systems for this role?

The Enterprise Data Architect must have proven expertise in integration architectures and event-driven systems, as they are critical for connecting distributed applications and ensuring data quality and effectiveness across the enterprise.

How does this position relate to advanced analytics and AI/ML capabilities?

The role involves developing strategies to prepare the organization's data ecosystem for self-service analytics and advanced AI, ML, and GenAI applications, aligning with the movement towards a data-driven strategy.

What soft skills are important for the Enterprise Data Architect?

Strong communication and presentation skills are crucial, enabling the candidate to translate complex technical concepts for diverse audiences. Additionally, the ability to navigate organizational politics and build consensus among stakeholders is essential.

What tools or methodologies should candidates be familiar with?

Candidates should have proficiency in creating architecture artifacts like data flow diagrams, as well as experience with Agile methodologies and DevOps practices within the context of data architecture.

What is the expected impact of the Enterprise Data Architect on the organization?

The ideal candidate will drive the organization’s data strategy forward, ensure seamless integration across distributed applications, and position the company as a data-driven leader in its industry.

Is experience with cloud-based data solutions important for this role?

Yes, strong knowledge of cloud-based data solutions and SaaS architectures is critical for effectively modernizing the data infrastructure in alignment with the organization’s strategic goals.

How does the Enterprise Data Architect contribute to data governance?

The architect will establish and enforce data discipline across the organization, which includes overseeing data governance, Master Data Management (MDM), and adhering to industry best practices.

Indiana Farm Bureau Insurance

We provide financial security to our members. Our family protecting your family.

Finance

Industry

1001-5000

Employees

1934

Founded Year

Mission & Purpose

Indiana Farm Bureau Insurance has protected fellow Hoosiers for more than 85 years. Organized in 1934 by Indiana Farm Bureau, Inc., our family of companies has grown to include insurance products for auto, life, home, business and farm. Banking and other financial services and products are also available. With a home office in downtown Indianapolis and local offices in all 92 counties, Indiana Farm Bureau Insurance serves Hoosiers with more than 450 agents and nearly 1,200 employees, who live and work throughout the state. Our company is a leader in auto and homeowners insurance and the largest writer of farm insurance in the Hoosier state. Our mission is to support Indiana Farm Bureau, Inc. and its members by being the premier provider of insurance and financial products and services in the communities we serve. Our vision is to provide distinctive products, service and solutions that enhance the financial health of our clients and our company. Indiana Farm Bureau Insurance is committed to sharing our success with the communities we serve. We contribute talent, time and treasure to programs and sponsorships that advance our state and contribute to the social fabric in communities across Indiana. We concentrate on youth and agriculture, and we also support wellness, safety, and community services, as well as civic, economic and cultural programs. Our giving is enhanced by Farm Bureau family members who are personally committed to the causes addressed.