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Holman

Global dealer network, fleet management, upfitting

Team Lead – Data Modeling

Data EngineeringPosted on Nov 11
Full-timeRemote

About the Job

Requirements

  • A bachelor's degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field is required.
  • At least 10 years of experience designing and implementing modern cloud data platforms, data warehouses, lakehouses, or enterprise analytics environments is required.
  • Strong experience with Databricks, Delta Lake, Spark, dbt, SQL, and cloud-native data engineering technologies is required.
  • Experience designing Medallion Architecture solutions and implementing bronze, silver, and gold layer patterns is required.
  • Experience building scalable data products, semantic models, and analytics-ready datasets for enterprise consumption is required.
  • A strong understanding of data transformation frameworks, ELT architectures, and metadata is required.
  • Familiarity with modern AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector-based architectures, and agentic workflows is required.
  • Experience leveraging AI-assisted development tools and modern engineering practices to improve productivity and solution quality is required.

Responsibilities

  • Lead the design and implementation of enterprise data models and business-ready data products within a modern Lakehouse architecture.
  • Design scalable Medallion Architecture solutions across Bronze, Silver, and Gold layers.
  • Develop Gold-layer business models that provide trusted, reusable, and governed enterprise data assets.
  • Design semantic models and business-layer abstractions that provide consistent access to enterprise data.
  • Create data structures optimized for analytics, operational applications, APIs, machine learning, generative AI, and agentic workflows.
  • Develop and optimize transformation frameworks using Databricks, dbt, Delta Lake, Spark, and SQL.
  • Remain actively involved in hands-on data modeling, transformation design, and technical implementation.
  • Develop reusable modeling patterns, frameworks, and standards that accelerate delivery across teams.
  • Apply automation, metadata-driven approaches, and AI-assisted development tools to improve productivity, code quality, documentation, and solution quality.
  • Serve as a technical leader and subject matter expert for enterprise data modeling and transformation.
  • Establish and maintain modeling standards, naming conventions, development practices, and reusable architecture patterns.
  • Lead architecture and design reviews to ensure solutions are scalable, maintainable, performant, secure, and cost-effective.
  • Mentor data modelers, data engineers, and analytics engineers through technical coaching, design reviews, and knowledge sharing.
  • Identify technical risks involving performance, scalability, maintainability, cost, and data quality and guide teams toward appropriate solutions.
  • Embed data quality, lineage, governance, observability, security, privacy, and compliance into the data modeling lifecycle.
  • Help establish clear standards around data ownership, governance, and domain responsibilities.
  • Ensure enterprise data products are trusted, discoverable, reusable, and optimized for both human and AI consumption.
  • Partner with business stakeholders, solution architects, data engineers, analytics engineers, application teams, analytics teams, and AI practitioners to translate business requirements into scalable data products.
  • Facilitate technical design discussions across multiple stakeholder groups and communicate complex architecture concepts to both technical and non-technical audiences.
  • Evaluate emerging cloud data, AI, automation, and agentic technologies and identify opportunities where they can deliver meaningful business value.
  • Build proofs of concept and help establish new architectural approaches where established patterns do not yet exist.

About the Company

Holman

Global dealer network, fleet management, upfitting

Holman Automotive is a global automotive services company with a network of dealerships, fleet management solutions, and vehicle upfitting services. It serves individuals, commercial fleet operators, and government agencies, offering an end-to-end approach to the vehicle lifecycle. Its main activities include vehicle sales, leasing, and financing; fleet management; and vehicle upfitting, installation, and related services. The company differentiates itself through an integrated suite of automotive services, strong focus on customer relationships, and a broad North American dealership and service network. Holman's goal is to provide comprehensive, lifecycle-oriented automotive support that helps customers acquire, finance, maintain, and dispose of vehicles efficiently while managing total cost of ownership across diverse client segments.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Mt Laurel Township, NJ
Founded
1924

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