Lead and manage the IT Data Engineering team, including hiring, coaching, performance management, and workload prioritization, guiding engineers on state management, topic design, and data contract patterns.
Own and evolve the Canonical Data Model (CDM) and enterprise object model — including the enterprise ontology that gives AI systems a shared, machine-interpretable definition of core business entities and their relationships — ensuring a single governed definition across the enterprise.
Design end-to-end data pipeline topology for the central data and integration hub, including ingestion lanes (CDC, API polling, order-saga orchestration), stream processing (Kafka/Flink), and the Bronze/Silver/Gold medallion layers.
Define integration patterns and specifications for source systems including JDE BSSV operations, Salesforce, and Tacton CPQ.
Establish and maintain data modeling standards, event schemas, and immutability/replay ability principles to ensure data consistency, integrity, and reliability across analytics and operational systems
Design and govern data architecture patterns that support advanced analytics, machine learning, generative AI, and agentic automation use cases.
Define enterprise semantic models, the enterprise ontology, metadata standards, business glossaries, and knowledge representations that provide consistent context and interpretation for analytics, AI assistants, and intelligent agents.
Establish standards for reusable data products that can be consumed by reporting, predictive models, digital assistants, and operational automation workflows.
Partner with the AI Architect and Data Governance Committee to define lineage, explainability, auditability, privacy, and trust requirements for data used by AI solutions.
Define architecture patterns and governance standards for structured, semi-structured, and unstructured data assets to support analytics, digital thread initiatives, and AI-enabled knowledge discovery.
Partner with the Data Governance Committee to translate governance policy into enforceable technical architecture.
Maintain architectural decision logs, marking superseded decisions rather than deleting them, and document final records to SharePoint and diagrams to Miro.
Other duties as assigned.
Qualifications
YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS)
Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; Master's preferred.
Experience: 7+ years in data architecture, data engineering, or a related discipline, including hands-on design of enterprise data platforms and canonical/dimensional data models, and prior experience leading or managing a technical team. Demonstrated experience with streaming/event-driven architectures (Kafka/Confluent), lakehouse/medallion patterns, and integration with ERP and CRM systems.
Skills: Proven ability to lead, mentor, and develop a data engineering team.
Deep proficiency in data modeling, SQL, and stream processing (Flink or equivalent); familiarity with dbt, Iceberg, and cloud data platforms (AWS). AWS certification a plus.
Modern Data Architecture: Experience designing data products, semantic layers, and enterprise metadata architectures.
AI Data Foundations: Understanding of data architectures supporting machine learning, RAG (Retrieval Augmented Generation), vector search, ontologies (including the CDM) and knowledge graphs, and AI-enabled business applications.
Data Governance & Trust: Knowledge of data lineage, data quality, ability to explain, and governance requirements for AI systems.
Strong grasp of data governance concepts and canonical modeling. Excellent written communication and stakeholder-facing documentation.
Travel: Occasional; typically less than 10%.
PHYSICAL/MENTAL REQUIREMENTS
Office and plant environment.
Keyboarding, lifting, standing, bending, walking.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
ABOUT GREAT DANE
With a history dating back to 1900, Great Dane has established itself as a transportation solutions leader of today – delivering innovative products and exceptional services that help our customers and employees succeed. We not only engineer durable and high-quality trailers and truck bodies; we foster relationships that last a lifetime.
WHY WORK FOR US?
Great Dane is a leading manufacturer of dry-freight vans, refrigerated trailers, and flatbeds with 10 manufacturing facilities and 20 service centers throughout the United States. With a legacy like ours comes a dedication to the hard-working individuals that make Great Dane what it is today. Our jobs are waiting to be filled by driven, challenge-focused & enthusiastic people like you.
Our culture is comprised of “Champions” and offers a rewarding workplace rooted in core values of safety, leadership, integrity, quality, and passion. Every employee has opportunities to learn, grow, succeed and be engaged in a collaborative environment.
BENEFITS OVERVIEW
Competitive compensation
Benefits, including but not limited to dental, vision, and medical with employer contributions
Retirement programs, including a Pension Plan and 401(k) Plan with employer match
Tuition Reimbursement
Paid holidays and vacation
And more!
Great Dane is an Equal Opportunity Employer
