Sr Data Engineer

Overview

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.

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Sr. Data Engineer is an experienced professional responsible for leading the development of complex data architectures. The role involves mentoring junior engineers, designing large-scale data solutions, and ensuring the reliability of data infrastructure. This position requires expertise in data engineering practices and a proactive approach to problem-solving.

• Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data.
• Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes.
• Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning.
• Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms.
• Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals.
• Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team.
• Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting.
• Implement data governance frameworks, including data lineage, metadata management, and data quality standards.

• Advanced SQL skills, including query optimization, indexing strategies, and data modeling techniques (e.g., star and snowflake schemas).
• Expertise in programming languages such as Python, Java, or Scala, with experience in developing complex data processing algorithms.
• In-depth knowledge of cloud data services and big data technologies, such as Snowflake, AWS EMR, Azure HDInsight, or Google Dataflow.
• Experience with data streaming technologies, such as Apache Kafka, Apache Flink, or Amazon Kinesis, for real-time data processing.
• Strong understanding of data lake architectures, data warehousing, and data integration techniques.
• Proficiency in data pipeline orchestration tools, such as Apache Airflow, Prefect, or Dagster, for managing complex workflows.
• Knowledge of data security frameworks and compliance standards (e.g., GDPR, HIPAA) and their application in data engineering.
• Experience with Dev Ops practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform, Cloud Formation), and containerization (e.g., Docker, Kubernetes).

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 5-7 years of experience in data engineering or a related role, with a proven track record of delivering scalable data solutions.
• AWS, Snowflake, Azure
• AWS Glue, AWS Appflow, Prefect, dbt, S3, Qlik
• SQL, Python, Java
• Excellent ability to convey complex ideas to both technical and non-technical audiences.
• Demonstrates advanced problem-solving skills, tackling complex issues with innovative solutions.
• Models ethical behavior and decision-making, fostering a culture of trust within the team.
• Thrives in high-pressure situations, maintaining effectiveness and composure.
• Champions change initiatives and drives continuous improvement within the organization.
• Leads cross-functional teams, ensuring alignment and cooperation across departments.
• Provides strategic leadership, influencing team direction and mentoring future leaders.
• Ensures accountability at all levels, holding team members responsible for their contributions.

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