Lead Data Engineer at PulteGroup

Atlanta, Georgia, United States

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Construction, Homebuilding, Real EstateIndustries

Deep technical expertise in architecting, building, and optimizing enterprise-scale data solutions
Strong leadership skills to guide and mentor data engineering teams
Experience with data platform architecture, performance optimization, reliability, and scalability
Proficiency in designing and implementing complex data pipelines, ETL/ELT processes, and integration strategies
Knowledge of DataOps practices and automation for data delivery
Expertise in Microsoft Fabric and leading migrations from legacy systems
Ability to evaluate emerging technologies and recommend solutions for data capabilities and cost efficiency
Skills in ensuring data quality, security, compliance with regulatory standards, and governance
Experience monitoring and optimizing database performance, troubleshooting complex data issues
Capability to provide escalation support for critical production issues, including after-hours
Senior-level experience (Career Level P4) managing large projects, coaching, reviewing, and delegating work with limited oversight

Mentor and coach junior data engineers; foster a culture of collaboration and continuous improvement
Define and implement the organization’s data engineering strategy, aligning with business objectives and future growth
Represent the data engineering team in executive discussions and provide strategic guidance on data initiatives
Own the architecture and performance of the enterprise data platform, ensuring reliability and scalability
Lead the design and implementation of complex data pipelines, ETL/ELT processes, and integration strategies
Drive adoption of DataOps practices and automation for efficient data delivery
Lead the migration from legacy systems to Microsoft Fabric, ensuring seamless integration and minimal disruption
Evaluate emerging technologies and recommend solutions that enhance data capabilities and cost efficiency
Partner with business stakeholders, data scientists, and analysts to deliver data solutions that meet business needs
Ensure data quality, security, and compliance with regulatory standards
Maintain clear documentation for data processes, models, and tools
Monitor and optimize database performance; troubleshoot and resolve complex data issues
Provide escalation support for critical production issues, including after-hours when necessary
Contribute to the development of goals, planning efforts (budgets, operational plans), and manage large projects or processes