
Team Lead – Data Modeling
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in Florida, +4 more locations.
• Lead the design and execution of enterprise data models and business-ready data products within a contemporary Lakehouse architecture.
• Create scalable Medallion Architecture solutions across Bronze, Silver, and Gold tiers.
• Develop Gold-layer business and semantic models that deliver trusted, reusable, governed enterprise data assets.
• Construct data structures optimized for analytics, operational applications, APIs, machine learning, generative AI, and agentic workflows.
• Build and refine transformation frameworks utilizing Databricks, dbt, Delta Lake, Spark, and SQL.
• Stay hands-on with data modeling, transformation design, and technical execution.
• Create reusable modeling patterns, frameworks, and standards.
• Implement automation, metadata-driven methods, and AI-assisted development tools.
• Act as a technical leader and subject matter expert in enterprise data modeling and transformation.
• Set modeling standards, naming conventions, development practices, and reusable architectural patterns.
• Guide architecture and design reviews.
• Mentor data modelers, data engineers, and analytics engineers.
• Identify technical risks related to performance, scalability, maintainability, cost, and data quality.
• Integrate data quality, lineage, governance, observability, security, privacy, and compliance into the data modeling lifecycle.
• Collaborate with business stakeholders, solution architects, data engineers, analytics engineers, application teams, analytics teams, and AI practitioners.
• Facilitate technical design discussions and convey complex architectural concepts to both technical and non-technical audiences.
• Assess emerging cloud data, AI, automation, and agentic technologies.
• Create proofs of concept and develop new architectural strategies.
• Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related discipline.
• Over 10 years of experience in designing and implementing modern cloud data platforms, data warehouses, lakehouses, or enterprise analytics environments.
• Extensive experience with Databricks, Delta Lake, Spark, dbt, SQL, and cloud-native data engineering technologies.
• Proven experience in designing Medallion Architecture solutions and applying bronze, silver, and gold layer patterns.
• Experience in developing scalable data products, semantic models, and analytics-ready datasets for enterprise utilization.
• Strong grasp of data transformation frameworks and ELT architectures.
• Knowledge of modern AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector-based architectures, and agentic workflows.
• Experience utilizing AI-assisted development tools and contemporary engineering practices to enhance productivity and solution quality.
• 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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