Senior Data Platform Engineer — AI-Driven Data Architect

Lennar USA

Miami (FL)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) with company match
Education assistance
Parental leave
Adoption assistance
Vacation and holidays

Job summary

Lennar is hiring a Lead Data Engineer to guide our data engineering & analytics initiatives in a data-driven organization. You will design, build, and operate data platforms, ETL/ELT pipelines, and AI-enabled data products in a cloud-first environment.

You will collaborate with business teams to empower self-service analytics, improve data quality, and scale data infrastructure across Bronze/Silver/Gold layers while ensuring security and governance.

Qualifications

  • 8+ years in data engineering with enterprise warehousing and cloud data lakes.
  • Experience with SDLC, testing, and robust error handling.
  • Strong data governance, RBAC and security practices.

Responsibilities

  • Design, build, and operationalize data engineering solutions for Lennar's platforms.
  • Architect and implement ETL/ELT and streaming data ingestion across sources.
  • Develop and containerize Python data applications using cloud infra.
  • Improve data ingestion architecture for quality, cost, and scalability.
  • Enforce coding standards, testing, and secure CI/CD with schema evolution.
  • Instrument platforms with metrics, alerts, and monitoring (SLA/SLO).
  • Collaborate with data science on data layers for Generative AI and RAG.
  • Integrate data from disparate systems for end-to-end data products.
  • Align technical data work with core business objectives.

Skills

Advanced Python
AWS & Containers
Snowflake Data Cloud
dbt (Data Build Tool)
AI Tools Familiarity
Data Ingestion & Integration

Tools

AWS ECS & ECR
Snowflake Console
dbt Cloud
Git/GitHub
Airflow/Prefect

Job description

Lennar is hiring a Lead Data Engineer to guide our data engineering & analytics initiatives in a data-driven organization. You will design, build, and operate data platforms, ETL/ELT pipelines, and AI-enabled data products in a cloud-first environment.

You will collaborate with business teams to empower self-service analytics, improve data quality, and scale data infrastructure across Bronze/Silver/Gold layers while ensuring security and governance.

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