Lead Data Engineer

Lennar•Waterford, FL

About The Position

Lead Data Engineer We are Lennar 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. Join a Company that Empowers you to Build your Future The Lead Data Engineer is responsible for overseeing the data engineering team and driving the strategic direction of data initiatives. The role involves managing projects, ensuring the scalability of data solutions, and collaborating with stakeholders to meet organizational goals. 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.

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
7-10 years of experience in data engineering, with significant leadership and project management experience.
AWS, Snowflake, Azure
AWS Glue, AWS Appflow, Prefect, dbt, S3, Qlik
SQL, Python, Java
Exceptional ability to influence and engage senior leaders with data-driven insights.
Expert in resolving complex, high-stakes problems with innovative solutions.
Leads with a collaborative spirit, driving team success through shared goals.
Sets the standard for integrity within the organization, fostering a culture of trust and ethical behavior.
Demonstrates unwavering resilience in the face of adversity, guiding the team through challenges.
Acts as a change agent, leading transformative initiatives that drive business success.
Leads and coordinates efforts across multiple departments, ensuring alignment with organizational goals.
Provides visionary leadership, inspiring and developing future leaders within the organization.
Establishes a culture of accountability, ensuring that all team members meet their commitments and deliver high-quality work.

Responsibilities

Obtain documents from Engineers and Architects to facilitate the permit application process.
Obtain all required approvals for permits and act as liaison between the company and each municipality.
Prepare and submit applications to various agencies/ boards having jurisdiction over required permits and/or approvals.
Review any plans issued out of the division for correct revision dates and review start packages for accuracy.
Coordinate paperwork and applications with outside consultants as necessary.
Submit paperwork for permits, enter permitting data, prepare start packages for construction managers, and obtain inspections needed for closing.
Work closely with the municipalities on the status of permits and ensure they are processed in a timely manner.
Produce and maintain schedules for all communities and coordinate with municipalities from approval to final stages of permitting process.
Schedule and coordinate meetings, appointments, etc.
Maintain all company files relating to site plan applications, approvals, licenses and permits.
Meet with county board, attend Hearings on behalf of Lennar, to present project and request approval.
Extensive experience with data warehousing tools like Snowflake and also on administration.
Advocate of best practices that drives cost optimization and scalable pipelines in Snowflake.
Experience with Snowflake Data Shares, listings and Governance.
Strong leadership and project management skills, with experience leading cross-functional teams and managing multiple projects simultaneously.
Expertise in cloud data platforms (AWS, Azure, GCP) and big data ecosystems, with a focus on optimizing cost, performance, and scalability.
Proficient in advanced data modeling, including the design of enterprise data warehouses, data lakes, and data marts.
In-depth knowledge of data governance practices, including data cataloging, data lineage, and data quality management.
Advanced skills in programming and scripting languages (e.g., Python, Java, Scala) for developing and automating data workflows.
Experience with real-time data processing and event-driven architectures, leveraging tools such as Apache Kafka, Spark Streaming, and AWS Lambda.