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About the Role
The Lead Data Engineer will provide technical leadership to the Product Team, helping design and implement next-generation data and analytics platforms and products. This role is key in operationalizing Lennar’s enterprise data fabric and empowering business users through self-service and automation.
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.
- Ensure strict guidelines for schema evolution to safeguard downstream analytics from unilateral changes.
- 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
- 8+ years of experience in Data Architecture & Enterprise Modeling, including advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold).
- Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies.
- Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks.
- Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments.
- 3-6+ years of strong technical experience in Advanced Python Development, writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication.
- Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR.
- Core AWS architecture experience: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
- Snowflake Data Cloud experience, including account administration, optimal virtual warehouse clustering strategies, and budget-optimization.
- Expert Snowflake feature implementation: Data Sharing, Time Travel, and Zero-copy cloning.
- Experience with dbt (Data Build Tool), including managing multi-repository dbt projects and configuring dbt Cloud environments.
- Experience creating, documenting, and optimizing advanced dbt models and custom macros.
- Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, or Claude/OpenAI APIs) to maximize development efficiency.
- Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer.
- Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation).
- Experience with Data Ingestion & Integration, including incremental loading and Change Data Capture (CDC) methods.
- Extensive experience querying and integrating with complex external REST APIs.
- Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment pipelines.
- 1+ years of experience with Orchestration & Scheduling tools like Prefect, Airflow, or similar modern workflow management software.
- Experience with Data Replication tools such as Qlik Replicate.
- A 'Product-First' Mindset: Demonstrated ability to partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets.
- Collaborative Drive: Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality.
- Technical Curiosity: A sharp mind and willingness to quickly master new technologies, architectures, and changing business domains.
- Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs.
- Finger dexterity is necessary.
- Cross train for position(s) within the team organizational structure as required.
- Comply with and implement company policies and procedures.
- Accept constructive criticism.
- Strong work ethic.
- Team player.
Skills
- Data Architecture
- Enterprise Modeling
- Data Warehousing
- Cloud Data Lakes
- ETL
- ELT
- Streaming Data Ingestion
- Python
- Containerization
- AWS
- Snowflake
- dbt
- AI-Assisted Development
- Generative AI
- Retrieval-Augmented Generation (RAG)
- LLM Frameworks
- REST APIs
- Git
- GitHub
- CI/CD
- Prefect
- Airflow
- Qlik Replicate
- Data Governance
- Data Security
- RBAC
- CloudWatch
- CloudTrail
- AWS ECS
- AWS ECR
- S3
- IAM
- Lambda
- EC2
- Snowflake Cortex
- AWS Bedrock
- LangChain
- Vector Databases
- Text Embedding Generation
- Change Data Capture (CDC)
Location
- Onsite
Work Type
- Full-time
- Onsite
Experience Level
- Lead
- 8+ years preferred
- 3-6+ years
- 1+ years
Salary/Compensations
- $121,700.00 - $152,100
Benefits
- Medical Insurance
- Dental Insurance
- Vision Coverage
- 401(k) Retirement Plan with $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Holiday Leave
- Sick Leave
- Personal Day policies
- New Hire Referral Bonus Program
- Home Purchase Discounts
- Everyone’s Included Day
About the Company
- Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service.
- Lennar gives back to the communities in which they work and live.
- Lennar fosters a culture of opportunity and growth for their Associates throughout their career.
- Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Equal Opportunity
- Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.