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Lennar

Senior Data Quality Engineer

Lennar

. Design and implement end-to-end data quality frameworks, including profiling, cleansing, validation, and monitoring across enterprise data assets .

Posted 5/22/2026full-timeMiami • Florida, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudPythonSQL

About the role

Key responsibilities & impact
  • Design and implement end-to-end data quality frameworks, including profiling, cleansing, validation, and monitoring across enterprise data assets
  • Deploy and administer Ataccama DQ and MDM capabilities to enforce data quality rules, lineage tracking, and issue resolution workflows
  • Configure and manage Master Data Management (MDM) solutions using Reltio to create and maintain golden records for critical business entities such as customers, products, and vendors
  • Build and maintain data quality pipelines in Snowflake and AWS cloud environments, leveraging native features for scalable quality checks and anomaly detection
  • Develop and maintain SQL-based data quality rules, reconciliation queries, and automated validation scripts across structured and semi-structured data sources
  • Integrate AI and machine learning capabilities via AWS Bedrock and Agentic AI frameworks to enable intelligent, self-healing data quality processes and automated root cause analysis
  • Define and track data quality KPIs and SLAs; produce dashboards and reports to communicate quality health to business and technology stakeholders
  • Partner with data governance, data engineering, and business teams to establish enterprise data standards, taxonomies, and ontologies
  • Lead data quality issue triage, root cause analysis, and remediation efforts in collaboration with upstream data owners and platform teams
  • Support CI/CD practices for data quality rule deployment, version control, and automated regression testing
  • Contribute to the development of data qualities policies, standards, and best practices documentation
  • Champion a culture of data trust across the organization through training, evangelism, and hands-on enablement of data consumers and producers

Requirements

What you’ll need
  • 5–7 years of experience in data quality engineering, data management, or a closely related data engineering discipline
  • Strong proficiency in SQL/Python for data analysis, quality rule development, and reconciliation across relational and cloud-native databases
  • Hands-on experience with Ataccama ONE or Ataccama DQ for data profiling, quality rule authoring, workflow management, and MDM integration
  • Demonstrated experience implementing and managing Master Data Management solutions, with specific expertise in Reltio preferred
  • Experience working in AWS cloud environments; familiarity with AWS services relevant to data quality and governance (S3, Glue, Lambda, Step Functions)
  • Proficiency with Snowflake, including data quality patterns, dynamic data masking, and leveraging Snowflake’s native data quality features
  • Familiarity with AWS Bedrock, Claude Code, Codex and experience applying generative AI or Agentic AI frameworks to automate or augment data operations workflows
  • Solid understanding of data governance principles, data cataloging, metadata management, and data lineage concepts
  • Experience with data quality metrics definition, SLA management, and executive-level reporting on data health
  • Ability to work collaboratively with business users, data stewards, and technical teams to gather requirements and deliver data quality solutions
  • Strong adherence to software engineering best practices including version control (git), modular code design, Agile methodologies, and CI/CD pipelines
  • Ability and willingness to quickly learn emerging data quality technologies and adapt to an evolving enterprise data landscape
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; equivalent practical experience will be considered

Benefits

Comp & perks
  • robust health insurance plans, including Medical, Dental, and Vision coverage
  • 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
  • Paid Parental Leave
  • Associate Assistance Plan
  • Education Assistance Program
  • up to $30,000 in Adoption Assistance
  • up to three weeks of vacation annually
  • generous Holiday, Sick Leave, and Personal Day policies
  • New Hire Referral Bonus Program
  • significant Home Purchase Discounts
  • Everyone’s Included Day

ATS Keywords

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Hard Skills & Tools
SQLPythondata quality engineeringMaster Data Managementdata profilingdata cleansingdata validationdata monitoringdata quality pipelinesdata analysis
Soft Skills
collaborationcommunicationproblem-solvingleadershipadaptabilitytrainingevangelismstakeholder engagementroot cause analysisissue resolution