Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Holman

Team Lead – Data Modeling

Holman

. Lead the design and implementation of enterprise data models and business-ready data products within a modern Lakehouse architecture .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $105,050 - $149,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise data models and scalable data products within modern Lakehouse architecture, utilizing tools such as Databricks and SQL. Proficient in applying AI-assisted development tools and establishing data governance and quality standards.

Highest-signal resume keywords
Enterprise Data ModelingMedallion Architecture SolutionsDatabricksData Transformation FrameworksAI-Assisted Development Tools

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData TransformationSQLDelta LakeSparkDbtCloud Data PlatformsAnalytics-Ready DatasetsELT ArchitecturesSemantic Models
Soft Skills
Technical LeadershipMentoringCommunicationCollaborationProblem-Solving
Tools & Technologies
DatabricksDelta LakeSparkDbtAI TechnologiesLarge Language ModelsRetrieval-Augmented GenerationVector-Based ArchitecturesAutomation ToolsAgentic Workflows
Industry Keywords
Lakehouse ArchitectureData GovernanceData QualityData LineageEnterprise AnalyticsCloud-Native Data EngineeringData WarehousingBusiness-Ready Data ProductsModeling StandardsDevelopment Practices

Tech Stack

Tools & technologies
CloudSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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