[Hiring] Team Lead - Data Modeling @Holman

Role 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.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field.
• Master’s degree in computer science, Data Engineering, Artificial Intelligence, Analytics, or related disciplines (preferred).
• 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