Lead Data Engineering & Platform Solutions

caseysstoresupportcenter; Iowa (LA); On-site; USD 125,000 - 174,000; Full time

Benefits offered by this job

Medical plans

Dental & Vision

Parental leave

Onsite Child Development Center

401k company match

Job summary

Casey’s Data & Analytics team is seeking a senior Manager, Data Engineering to lead the Marketplace Data Engineering team and deliver data products that enable insights, analytics, data science, and AI across Casey’s. You will guide engineers, collaborate with product and business partners, and drive scalable, reliable data solutions that create business value.

You will own strategy and governance for enterprise datasets, mentor engineers, and champion data product thinking while aligning

Qualifications

• Bachelor's degree in CS, IT, Data Analytics, Engineering, Mathematics, or related field, or equivalent work experience.
• 7+ years of progressive experience delivering enterprise data, analytics, or engineering solutions.
• 3+ years leading and developing technical teams.
• Experience managing teams responsible for data engineering, analytics engineering, business intelligence, or enterprise data platforms.
• Strong understanding of data architecture, data modeling, data integration, and modern data engineering practices.
• Experience building and supporting cloud-based data platforms and enterprise-scale data solutions.
• Strong leadership, communication, organizational, analytical, and problem‑solving skills.
• Preferred Skills: Databricks, Azure Data Lake Storage, Azure Data Factory, Snowflake, Power BI/Tableau; experience with AI/ML data assets.

Responsibilities

• Lead a high-performing team of Data Engineers responsible for building, maintaining, and supporting enterprise data products and datasets.
• Create strong partnerships with business stakeholders, Product Owners, Data Scientists, and Analysts to define priorities and deliver high-value data solutions.
• Drive the design and implementation of scalable data pipelines, data models, and reusable data products.
• Establish and promote data engineering best practices related to data quality, performance, security, and operational excellence.
• Leverage AI-assisted engineering practices and emerging technologies to accelerate delivery, improve solution quality, and enhance team productivity.
• Ensure data products are reliable, trusted, and well‑documented through appropriate testing, monitoring, governance, and support processes.
• Lead efforts to optimize data platform performance, scalability, reliability, and cost efficiency.
• Define team goals and roadmaps that align with organizational priorities while ensuring work is appropriately prioritized across business and technology stakeholders.
• Champion data product thinking by treating datasets as strategic assets with defined ownership and service levels.
• Own the strategy, governance, reliability, and evolution of enterprise data products including customer, store, and operational 360 datasets (Guest, Store, Product).

Skills

Data engineering

Leadership

Cloud data platforms

SQL

Python

Team coaching

Data modeling

Education

Bachelor's degree

Tools

Databricks

Azure Data Lake Storage

Azure Data Factory

Power BI

Tableau

Snowflake

Job description

Casey’s Data & Analytics team is seeking a senior Manager, Data Engineering to lead the Marketplace Data Engineering team and deliver data products that enable insights, analytics, data science, and AI across Casey’s. You will guide engineers, collaborate with product and business partners, and drive scalable, reliable data solutions that create business value.

You will own strategy and governance for enterprise datasets, mentor engineers, and champion data product thinking while aligning