Job Description

Principal Data Engineer

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, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.

The primary mission of the Principal Data Engineer role is to help our business evolve into a data, insights, and AI-driven organization. This position sits in our Data and AI team, which aims to drive improved business outcomes using insights and intelligence gleaned from data, infusing them into Lennar’s corporate fabric.

The Principal Data Engineer is a senior individual contributor who brings deep technical expertise across data platform engineering and data architecture. As AI becomes central to how Lennar operates, this role is foundational — the data platform this person builds and maintains is what makes enterprise AI possible. The Principal Data Engineer shapes how data moves through Lennar’s enterprise systems, sets the engineering standards the team builds against, and actively elevates the engineers around them through mentorship, architecture guidance, and hands-on collaboration. The Principal Data Engineer is a key role in maturing and scaling Lennar’s enterprise data fabric to support both analytics and AI at scale.

A career with purpose.

A career built on making dreams come true.

A career built on building zero defect homes, cost management, and adherence to schedules.

• Design, build, and operationalize data engineering solutions across Lennar’s bronze, silver, and gold data layers, ensuring the platform is reliable, scalable, and trusted as the foundation for analytics and AI initiatives.
• Lead architecture decisions for pipeline frameworks, orchestration patterns, and cloud data storage strategies including Apache Iceberg and S3, with a focus on making data AI-ready across the enterprise.
• Architect and implement ETL, ELT, and streaming data ingestion and delivery processes across multiple enterprise source systems including JDE and Salesforce.
• Define and implement standards and best practices for the data engineering team, including code modularization, versioning, testing, CI/CD automation, and code reviews.
• Instrument data platforms with robust metrics, observability, and monitoring to support operational reliability and data quality commitments.
• Collaborate with cloud engineering, data governance, and MDM teams to ensure platform architecture supports lineage, compliance, and master data requirements.
• Serve as a primary technical escalation point for complex platform issues, degradations, and production incidents.
• Mentor and develop data engineers across the team through design reviews, code reviews, and hands-on pairing — helping Associates grow their skills and solve problems they haven’t encountered before.
• Represent the Data & AI Platforms team in cross-functional technical discussions with Salesforce, JDE, cloud engineering, and AI product teams.
• Evaluate and introduce new technologies and architectural patterns — including emerging AI and data infrastructure tooling — through prototyping, benchmarking, and structured recommendation.
• Gain a deep understanding of Lennar’s core business processes and align platform development with business strategy and AI adoption goals.

Technical Requirements

Expertise (At least 8+, prefers 12+ years) in:

• Data architecture design and data platform engineering
• Data modeling, cloud data warehousing, and lakehouse concepts
• Data transformation, standardization, and medallion layer design
• ETL/ELT processes, strategies, and pipeline reliability patterns
• Monitoring, observability, and error handling for data systems
• SDLC, workflow best practices, code reviews, and QA/testing methodologies

Strong experience (At least 3+, prefers 6+ years) with the following technologies and platforms:

• AWS data services: S3, Glue, Athena, MWAA (Airflow), Kafka (MSK), Lambda, EMR, CloudWatch; AWS certification a plus
• Snowflake Data Cloud: account administration, virtual warehouse strategies, role-based access control, Data Sharing, Time Travel, and Zero-copy cloning
• dbt: managing multi-repository projects, authoring and maintaining models, macros, incremental strategies, testing frameworks, and semantic layer / semantic model development
• Apache Iceberg and lakehouse table format patterns
• Version control and branching strategies (GitHub a plus)
• Proficiency in SQL and Python
• Data governance, security, and compliance concepts
• Incremental and CDC ingestion methods; REST APIs

Familiarity (At least 1+ years of experience) with:

• Orchestration and scheduling tools (Airflow / MWAA preferred)

• Qlik Replicate for data ingestion and CDC pipeline delivery

• Data lineage and observability tooling (OpenLineage / Marquez or similar)
• Data quality and MDM platforms (Ataccama, Reltio, or similar)
• AI/ML platform concepts, including feature stores, vector data, or model data pipelines

Other Requirements

• Ability to work collaboratively and productively with other team members to achieve Lennar’s objectives.
• Demonstrated experience across all aspects of development including requirements gathering, technical design, implementation, testing, and post-implementation support.
• Ability to partner with business users, stakeholders, and AI product teams to gather solution requirements and deliver data that enables their work.
• Strong communication skills — able to convey technical complexity clearly to non-technical stakeholders and leadership.
• Genuine enthusiasm for AI and its potential to transform how a large enterprise operates — and a desire to build the data infrastructure that makes it possible.
• Thirst to help transform Lennar into an insights- and AI-driven organization.
• Ability and willingness to quickly learn new technologies and grow with the platform.
• Ability and willingness to learn about the business, its strategy, objectives, and core business processes.

Additional Requirements:

• 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.

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

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Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.