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Lead Data Engineer
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Über
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.
Your Responsibilities on the Team
Lead and manage the data engineering team, including project planning, resource allocation, and performance management.
Develop and enforce data engineering standards, processes, and best practices, ensuring consistency and quality across all data projects.
Collaborate with stakeholders, including business leaders, data scientists, and IT teams, to understand and prioritize data-related business needs and translate them into actionable technical requirements.
Ensure data solutions are scalable, secure, and aligned with the long-term goals of the organization, considering both current and future data needs.
Drive the adoption of new technologies, tools, and methodologies that improve the efficiency, reliability, and scalability of data engineering practices.
Oversee the development and maintenance of comprehensive data documentation, including data architecture diagrams, process flows, and technical specifications.
Manage the team's technical debt, ensuring that legacy systems are modernized and that new solutions are built with maintainability and scalability in mind.
Provide technical leadership in the resolution of complex data issues, guiding the team in troubleshooting and problem-solving efforts.
Requirements
Extensive experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi) and data integration platforms (e.g., Apache NiFi, Glue).
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.
Experience with enterprise data management frameworks, such as Master Data Management (MDM) and metadata 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.
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.
Physical & Office/Site Presence Requirements Regular, in‑person attendance at company communities/job sites and offices during regular work hours is an essential function of this job. This is primarily an active position which requires the lead data engineer to have the ability to work in excess of eight hours a day in the confined quarters of a construction trailer, the ability to operate a motor vehicle, read plans, climb stairs, climb ladders, bend, stoop, reach, lift, move and/or carry equipment which may be in excess of 50 pounds. The lead data engineer must be able to operate computer equipment, see, speak, and hear. Finger dexterity is required to operate an iPad and phone. Must be able to work outside in all weather conditions, around hazardous chemicals, dust, and dirt.
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 dollar‑for‑dollar 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 https://www.lennartotalrewards.com to view our suite of benefits.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
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Sprachkenntnisse
- English
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