Farm Bureau Financial Services · 2 hours ago
Director Data Engineering
Farm Bureau Financial Services is looking for a strategic and hands-on leader to shape the future of data engineering across their enterprise. The Director of Data Engineering will drive modernization, automation, and scalability, building a team and platforms that deliver trusted, high-quality data for analytics, AI, and business intelligence.
Financial ServicesInsuranceLife InsuranceWealth Management
Responsibilities
Set the vision and strategy for enterprise data engineering, defining goals, operating models, and success metrics for data platforms, pipelines, and products
Lead planning and execution for financial and operational priorities, ensuring resources are aligned to deliver maximum business value
Build and develop a high-performing team with expertise in cloud data engineering, automation, and agile delivery; oversee hiring, training, performance management, and budget accountability
Partner with business and technology leaders to shape roadmaps, evaluate solutions, and sponsor initiatives that align with enterprise objectives
Modernize data engineering practices by retiring legacy ETL and implementing automated, cloud-native pipelines for both batch and streaming use cases
Institutionalize DataOps principles - including version control, CI/CD for data pipelines, automated testing, environment management, and release governance
Establish enterprise data quality standards, embedding profiling, anomaly detection, monitoring, and automated remediation into pipeline execution
Implement observability and performance management for data platforms, including lineage, metadata, logging, and cost optimization (FinOps)
Define and manage the data product lifecycle, ensuring reusable, API-enabled access for analytics and AI consumers
Embed security and compliance into engineering processes in partnership with architecture and governance teams
Drive continuous improvement through intake and prioritization processes, capacity planning, and technical debt management
Manage vendor relationships and ensure partner performance meets expectations
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, or related field
10+ years of progressive experience in data engineering leadership
8+ years of experience building and leading high-performing teams
Proven success with modernizing enterprise data engineering from legacy ETL to automated, cloud-native solutions
Deep expertise in DataOps/DevOps practices for data engineering, including CI/CD, automated testing, and release governance
Strong knowledge of data architecture patterns (batch, streaming, event-driven), metadata management, and API-enabled data access
Experience implementing data quality frameworks and observability tools
Familiarity with infrastructure-as-code and platform automation; ability to operationalize reliability and cost management
Skilled in supporting analytics, BI, and AI/ML initiatives with trusted data
Excellent communication, stakeholder management, and problem-solving skills
Knowledge of agile principles and experience managing agile teams
Benefits
Enhanced 401K with a match
Low-cost health, dental, and vision benefits
Life and disability insurance options
Paid time off, including holidays and volunteer time
Onsite wellness facility with fitness classes and programs
Daycare center
Cafeteria
Consideration for a hybrid work arrangement