Lead Data Engineer

Overview:

Lead Data Engineer

Summary of Position:

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

The Lead Data Engineer will provide technical leadership to our corporate analytics engineering team. This is done by helping design and implement our next generation data and analytics platforms and products using DataOps and engineering best practices. The Lead Data Engineer may also be implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar’s enterprise data fabric and will have coaching and mentoring responsibilities for data engineering talent in the team.

Responsibilities:

Principal Duties and Responsibilities:

Design, build, and operationalize data engineering solutions for Lennar’s data and analytics platforms and products.

Implement CI/CD and other automation techniques to streamline data ingestion and delivery processes.

Develop self-service data and analytics capabilities to empower business users to navigate our data ecosystem.

Instrument platforms with robust metrics and monitoring.

Improve data flow architecture, emphasizing data quality, maintainability, and extensibility.

Support process improvement on the team to enable rapid development of data products.

Implement software engineering and DataOps standards and best practices for data analytics team, including code modularization, versioning, testing, automation of CI/CD workflows, code reviews.

Work with data/information architects to drive enterprise taxonomy and ontology development to connect disparate data across enterprise and enable 360 insights.

Gain an understanding of core business processes and align data development with business strategy.

Wrangle and integrate data from disparate systems to allow data analysts and data scientists leverage to end-to-end data and information.

Qualifications:

Education and Experience Requirements:

Technical Requirements (understand their purpose & able to utilize them effectively)

Expertise (At least 5+, prefers 7+ years) in:

• Architecture design

• Data modeling (Dimensional models, data vault)

• Data warehousing concepts

• Data transformations and standardizations

• ETL processes & strategies

• SDLC & workflow best practices

• Code Reviews

• QA/Testing methodologies

Strong experience (At least 5+, prefers 7+ years) with the following technologies and platforms:

• AWS platform: EC2, ECS, EKS, Glue, etc.

• Snowflake Data Cloud

• Account Administration

• Virtual warehouse strategies

• Snowflake feature implementation: Data Sharing, Time Travel, and Zero-copy cloning

• Role-based Access Control strategies

• Dbt

• Managing dbt cloud environment

• Managing multi-repository dbt projects

• Creating and managing dbt models

• Creating and leveraging dbt macros

• Version control & branching strategies (Github a plus)

• Proficient in languages: SQL, Python

• Data governance, security, and compliance concepts

• Data Ingestion

• Incremental and CDC ingestion methods

• REST APIs

Familiarity (At least 1+, prefers 2+ years of experience) with:

• Orchestration & Orchestration tools (Prefect a plus)

• Qlik Replicate

Other Requirements:

Ability to work collaboratively and productively with other team members to achieve Lennar’s objectives.

Thirst to help transform Lennar into an insights-driven organization.

Demonstrated some experience in all aspects of development including, but not limited to, gathering requirements, development of technical components related to process scope and supporting testing and post implementation support.

Ability to work and partner with users and stakeholders to gather solution requirements.

Experience working with business users to understand how to optimally deliver insights within their operational workflows & decision-making processes.

Ability and willingness to quickly learn new technologies.

Ability and willingness to learn about the business, its strategy, objectives, and core business processes.

Physical Requirements:

This is primarily a sedentary office position which requires he position to have the ability to operate computer equipment. Finger dexterity is necessary.

Additional Requirements:

Travel up to 10% of the time to Divisions within the Lennar family.

Interact well with co-workers.

May be required to 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.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

Type:

Regular Full-Time

Permanent