Team Lead – Data Modeling

🔥 15 hours ago

🐊 Florida, New Jersey, +3 more states – Remote

🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote 🍑 Georgia – Remote

💵 $105k - $149.7k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Holman

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛡️ Insurance

💼 Consulting

🏭 Manufacturing

Insurance • Consulting • Manufacturing

Holman is a company that provides a unique set of complementary services related to the automotive industry. They specialize in fleet management, upfitting, vehicle sales, parts and logistics, and insurance solutions. Holman also engages in growth ventures that invest in the future of mobility, listening to customer needs and creating tailored solutions.

📋 Description

• 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 and semantic models that provide trusted, reusable, governed enterprise data assets • 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 hands-on with data modeling, transformation design, and technical implementation • Develop reusable modeling patterns, frameworks, and standards • Apply automation, metadata-driven approaches, and AI-assisted development tools • Serve as technical leader and subject matter expert for enterprise data modeling and transformation • Establish modeling standards, naming conventions, development practices, and reusable architecture patterns • Lead architecture and design reviews • Mentor data modelers, data engineers, and analytics engineers • Identify technical risks involving performance, scalability, maintainability, cost, and data quality • Embed data quality, lineage, governance, observability, security, privacy, and compliance into the data modeling lifecycle • Partner with business stakeholders, solution architects, data engineers, analytics engineers, application teams, analytics teams, and AI practitioners • Facilitate technical design discussions and communicate complex architecture concepts to technical and non-technical audiences • Evaluate emerging cloud data, AI, automation, and agentic technologies • Build proofs of concept and establish new architectural approaches

🎯 Requirements

• Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field • 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 and ELT architectures • 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 • Paid sick leave for eligible part-time and temporary employees in applicable geographic areas

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