Lead Data Engineer
Lennar Corporation2 months ago
Miami, FL, USAStaff+
Base Salary
$122k - $152k/yr
Responsibilities
- Design, build, and operationalize production-grade data engineering solutions for Lennar’s data and analytics platforms.
- Architect and implement reliable ETL, ELT, streaming ingestion, and data delivery pipelines across enterprise sources.
- Develop, maintain, and containerize modular Python data applications and utility scripts.
- Improve ingestion architecture across storage and compute layers for data quality, cost-performance, maintainability, and extensibility.
- Define and enforce standards for code modularization, version control, automated testing, secure CI/CD workflows, schema evolution, and downstream data integrity.
- Implement platform observability through metrics, alerting, monitoring, and SLA/SLO practices.
- Use AI-assisted development tools to improve code generation, query performance, and engineering delivery speed.
- Collaborate with data science teams on data layers for Generative AI, RAG, and LLM applications.
- Integrate disparate production systems and deliver optimized data products for analysts and data scientists.
- Partner with business users and stakeholders to align technical data development with business objectives.
Requirements
- 8+ years of core expertise in data architecture, enterprise modeling, advanced data warehousing, cloud data lakes, and multi-layer data designs is preferred.
- Experience designing complex operational pipelines, data cleanup, standardization strategies, and production SDLC workflows.
- Experience with data governance, role-based access controls, compliance, and secure environments.
- 3+ to 6+ years of advanced Python development experience for data manipulation, automation, and API communication.
- Hands-on experience deploying and scaling containerized data workloads with AWS ECS and ECR, plus AWS S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
- Experience administering Snowflake, optimizing virtual warehouse clustering and budgets, and implementing Data Sharing, Time Travel, and zero-copy cloning.
- Experience managing multi-repository dbt projects, dbt Cloud environments, advanced dbt models, and custom macros.
- Daily proficiency with AI coding assistants such as GitHub Copilot, Cursor, or Claude/OpenAI APIs.
- Familiarity with Snowflake Cortex, AWS Bedrock, LangChain, vector databases, and text embedding generation for AI data preparation.
- Experience with incremental loading, change data capture, and integrating complex external APIs.
- Advanced Git and GitHub branching, pull request enforcement, and automated deployment pipeline experience.
- At least 1 year of experience with orchestration and scheduling tools such as Prefect or Airflow, or with enterprise data replication tools such as Qlik Replicate.
- AWS certification is a strong plus.
- Ability to partner with business stakeholders, collaborate across Software, DevOps, and Data teams, learn new technologies quickly, and work effectively in a team.
Benefits
- Medical, dental, and vision insurance.
- 401(k) retirement plan with company matching up to 5%.
- Paid parental leave and an Associate Assistance Plan.
- Education assistance and adoption assistance programs.
- Up to three weeks of vacation annually from the date of hire, plus holiday, sick leave, and personal day policies.
- New hire referral bonus program, home purchase discounts, and Everyone’s Included Day opportunities.
- Primarily sedentary office-based work with up to 10% travel to Lennar divisions.
- Equal opportunity employment and applicable federal, state, and local fair employment practices.
About Lennar Corporation
Lennar Corporation is a U.S. homebuilder that designs, builds, and sells single-family and multifamily homes for first-time, move-up, luxury, and active-adult buyers, and provides mortgage, title, and closing services. The company also develops communities and related real estate, operating across many U.S. markets. Founded in 1954 and headquartered in Miami, it is a public company listed on the NYSE (ticker: LEN) and a longtime Fortune 500 homebuilder.