Lead Data Engineer

About the role

The Lead Data Engineer role is part of Lennar's mission to transform into a data and insights-driven organization. This role provides technical leadership to the Product Team, focusing on designing and implementing data and analytics platforms and products, as well as platform observability and AI-driven productivity.

Responsibilities

• Design, build, and operationalize production-grade data engineering solutions for Lennar’s data and analytics platforms and products.
• Architect and implement reliable ETL, ELT, and streaming data ingestion/delivery processes across multiple enterprise sources.
• Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure.
• Improve data ingestion architecture, emphasizing data quality, cost-performance, maintainability, and extensibility across storage and compute layers.
• Define and implement engineering standards for the data team, including code modularization, version control, automated testing, and secure CI/CD workflows.
• Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs/SLOs) to ensure high availability and data trustworthiness.
• Leverage modern AI-assisted development tools within daily engineering workflows to accelerate code generation, optimize heavy queries, and improve overall delivery speed.
• Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks.
• Wrangle and integrate data from highly disparate production systems to allow data analysts and data scientists to leverage optimized, end-to-end data products.
• Gain a deep understanding of core business processes and align technical data development with strategic business objectives.

Requirements

• Core Expertise (8+ years preferred): Data Architecture & Enterprise Modeling, Advanced Data Transformations, Production SDLC & Workflow Best Practices, Data Governance & Security.
• Strong Technical Experience (3+ to 6+ years): Advanced Python Development, AWS Platform & Containerization, Snowflake Data Cloud, dbt (Data Build Tool), AI-Assisted Engineering & Data Tools, Data Ingestion & Integration, Version Control & CI/CD.
• Familiarity (1+ years of experience): Orchestration & Scheduling, Data Replication.

Soft Skills & Collaboration

• A "Product-First" Mindset: Partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets.
• Collaborative Drive: Work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality.
• Technical Curiosity: Quickly master new technologies, architectures, and changing business domains.

Physical & Office/Site Presence Requirements

• This is primarily a sedentary office position requiring the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.
• Travel up to 10% of the time to Divisions within the Lennar family.
• Interact well with co-workers.
• Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team.
• Comply with and implement company policies and procedures.
• Accept constructive criticism.
• Strong work ethic.
• Team player.