Team Lead - Data Modeling

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

#LI-BS1

#REMOTE

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. Below is a brief overview of the programs available to full-time employees (programs may vary by country or worker type):

• 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

Benefits:

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.
Click here for Washington State benefit information.

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.
Click here for Washington State benefit information.

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.