Team Lead - Data Modeling

ARI Automotive Rentals Inc; New Jersey; Hybrid; USD 105,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

401(k) plan with Company Match

Paid Time Off

Job summary

Holman is seeking an experienced Data Architecture & Modeling Lead to design enterprise data models and data products within a modern Lakehouse. You will shape Bronze/Silver/Gold patterns, ensure governance, and drive scalable data assets across analytics and AI initiatives.

You will oversee transformation frameworks using Databricks, dbt, Spark, and SQL, mentor engineers, and align architecture with business goals while enabling cost-efficient, secure solutions.

Qualifications

• Minimum 10+ years designing modern cloud data platforms and analytics environments.
• Strong experience with Medallion Architecture (bronze/silver/gold).
• Proven ability to lead architecture reviews and mentor engineers.

Responsibilities

• Lead design and implementation of enterprise data models and data products.
• Develop scalable data architectures across lakehouse layers and platforms.
• Collaborate with stakeholders to translate requirements into data solutions.
• Establish standards, governance, and best practices for data assets.

Skills

Data modeling

Architectural leadership

Mentoring

Cloud data platforms

Education

Bachelor’s degree in Computer Science / related field

Master’s degree preferred

Tools

Databricks

Delta Lake

Spark

dbt

SQL

Cloud-native data engineering

Job description

Holman is a family‑owned, global automotive services organization anchored by our deeply rooted core values and principles that have enabled us to continue Driving What’s Right throughout the last century. Our teams deliver the Holman Experience by treating our customers and each other as we would like to be treated, and creating positive, rewarding relationships all around. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and upfitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States.

At Holman, we exist to provide rewarding careers and better lives for employees and their families. We hire, train, empower, and reward exceptional people. Our journey is guided by our desire to get it right every time and the acknowledgement that we have an opportunity to be better. To be better, we have to do better, and to do better we must know better. That’s why we are listening, open to learning new things – about ourselves and each other. We will never stop striving for improved diversity, equity, and inclusion because we are successful together when we feel trusted and supported. It’s The Holman Way. At Holman, your total compensation goes beyond your paycheck. To position you for success and provide a rewarding career and better life for you and your family, Holman is proud to offer you the benefits you deserve; including protection against illness, disability, loss of work, or preparation for retirement.

At Holman, we operate according to “The Holman Way” by always doing what’s right for our people, our customers, and the community. Since 1924, Holman has grown from a single Ford dealership in New Jersey into a global automotive leader with more than 10,000 employees across North America, the UK, and Germany. We deliver a unique range of automotive services, including industry‑leading fleet management and leasing; commercial vehicle equipment manufacturing; powertrain distribution and logistics; commercial and personal insurance and risk management; venture capital funding; and automotive retail sales. Headquartered in southern New Jersey since 1924, we are looking for talented employees worldwide to join our Great Place to Work® certified corporate culture and help drive another century of success.

Position Description

Data Architecture & Modeling 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.

Development & Engineering

Develop and optimize transformation frameworks using technologies such as 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.

Technical Leadership

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.

Data Quality, Governance & Trust

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.

Collaboration & Innovation

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.

Required Education & Experience

Minimum Education: Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field.

Preferred Education & Experience

Master’s degree in computer science, Data Engineering, Artificial Intelligence, Analytics, or related disciplines.

Relevant Work Experience

10+ years of experience designing and implementing modern cloud data platforms, data warehouses, lakehouses, or enterprise analytics environments. Strong experience with Databricks, Delta Lake, Spark, dbt, SQL, and cloud‑native data engineering technologies. Experience designing Medallion Architecture solutions and implementing bronze, silver, and gold layer patterns. Experience building scalable data products, semantic models, and analytics‑ready datasets for enterprise consumption. Strong understanding of data transformation frameworks, ELT architectures, metadata. Familiarity with modern AI technologies, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), vector‑based architectures, and agentic workflows. Experience leveraging AI‑assisted development tools and modern engineering practices to improve productivity and solution quality.

Benefits

• Health Insurance
• Vision Insurance
• Dental Insurance
• Life and Disability Insurance
• Flexible Spending and Health Savings Accounts
• Employee Assistance Program
• 401(k) plan with Company Match
• Paid Time Off (PTO)
• Paid Holidays, Bereavement, and Jury Duty
• Paid Pregnancy/Parental leave
• Paid Military Leave
• Tuition Reimbursement

Regular Full‑Time We offer excellent benefits including health, vision, dental, life and disability insurance, and 401(k) with company match. Our time off benefits include Paid Time Off (PTO), paid holidays, bereavement, and jury duty. In addition, we offer paid pregnancy and parental leave, and supplemental paid military leave to eligible employees.

Temporary or Part‑Time In geographic areas with statutory paid sick leave, part‑time and temporary employees will receive a paid sick leave benefit that meets the mandated requirements.

Pay

We offer competitive wages that are commensurate with job‑related skills, experience, relevant education or training, and geographic location, starting in the range of $105,050.00 - $149,700.00 USD annually for full time employees. The annual compensation range is comprised of base pay earnings.

Artificial Intelligence Statement

We recognize that applicants for positions at any organization may view AI tools for tasks such as drafting a resume or cover letter, provided the information is accurate and truthful. However, applicants should not use AI tools to: Answer interview questions on their behalf, or use AI tools in any way during the interview or other qualification process(es). Misrepresent or embellish qualifications, skills, or experience Create false or misleading representations of identity (e.g., deepfakes or altered images/videos) Your application, whether an AI tool is used or not, should reflect your authentic abilities and experiences. Any use of AI that compromises honesty or integrity may result in disqualification from the process.

Equal Opportunity Employment and Accommodations

Holman provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you are a person with a disability needing assistance with the application process, please contact [e-mail] This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.