{"schemaVersion":"jobsearcher.job.v1","id":"f2c0a50eca1d4937e64e71a3","url":"https://jobsearcher.com/jobs/f2c0a50eca1d4937e64e71a3","canonicalUrl":"https://jobsearcher.com/jobs/f2c0a50eca1d4937e64e71a3","title":"Manager, Data Engineering","description":"Position Summary:\n\nResponsible for leading Data Engineering teams delivering enterprise data platforms and products using Databricks, Delta Lake, CDC, LakeFlow, cloud-native architectures, and modern data governance practices. Establishes engineering standards, drives platform modernization, leads enterprise data modernization initiatives, supports privacy and de-identification initiatives, enables Data Governance, Data Management and analytics capabilities, and partners across business and technology organizations to deliver scalable, secure and compliant data solutions.\n\nResponsibilities:\n\nManage and develop Data Engineering teams focused on Databricks and enterprise data platforms.\nDefine standards for Landing, Bronze, Silver and Gold data architecture layers.\nLead implementation of CDC, LakeFlow, streaming, batch and API integration patterns.\nDrive enterprise data quality, lineage, metadata, observability and catalog capabilities.\nPartner with Data Governance, Privacy, Security, Risk, Compliance and Records Management teams.\nLead data retention, de-identification, masking and privacy initiatives.\nLead enterprise data modernization initiatives, platform transformation programs, and legacy technology rationalization efforts.\nEvaluate and implement modern cloud technologies and vendor solutions.\nProvide architectural guidance and executive-level recommendations.\nLead Agile planning, staffing, mentoring, budgeting and performance management.\nDirectly manages Data Engineers and technical resources. Responsible for hiring, coaching, performance management and career development.\nEnsure solutions comply with company policies and regulatory requirements.\n\nRequirements:\n\nDatabricks, Delta Lake, Unity Catalog, dbt and Lakehouse architecture expertise.\nStrong experience with Python, SQL, Spark and large-scale data processing.\nKnowledge of CDC, streaming, APIs, REST, GraphQL, JSON and XML.\nExperience with Azure cloud platforms and cloud-native engineering practices.\nUnderstanding of Data Governance, Data Management, metadata and data quality frameworks.\nExperience with CI/CD, DevOps and Infrastructure as Code principles.\nStrong leadership, communication and stakeholder management skills.\nProven experience leading data engineering efforts that enable AI, machine learning, or generative AI solutions, ensuring scalable, secure, and high-quality data foundations for analytics and model training.\n7+ years of Data Engineering experience with enterprise data platforms.\n3+ years leading technical teams.\nExperience with Databricks, Spark and modern cloud data ecosystems required.\nRemoved legacy requirements including Visual Studio 2013/2015, SSIS-centric ETL development and SQL Server-focused architecture.\nBachelor degree preferred or equivalent experience.\nMortgage and financial services experience preferred.\n\nWhy work for #teamloanDepot:\n\nWork with other passionate, purposeful, and customer-centric team members.\nInclusive, diverse, and collaborative culture where people from all backgrounds can thrive.\nExtensive internal growth and professional development opportunities including tuition reimbursement.\nComprehensive benefits package including Medical/Dental/Vision.\nWellness program to support both mental and physical health.\nGenerous paid time off options to support work-life balance.\n\nAbout loanDepot:\n\nloanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.\n\nBase pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $149,000 and $204,500. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.\n\nWe are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.","company":"LoanDepot","rawCompany":"loandepot","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:48:26.158Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Data Engineering","description":"Position Summary:\n\nResponsible for leading Data Engineering teams delivering enterprise data platforms and products using Databricks, Delta Lake, CDC, LakeFlow, cloud-native architectures, and modern data governance practices. Establishes engineering standards, drives platform modernization, leads enterprise data modernization initiatives, supports privacy and de-identification initiatives, enables Data Governance, Data Management and analytics capabilities, and partners across business and technology organizations to deliver scalable, secure and compliant data solutions.\n\nResponsibilities:\n\nManage and develop Data Engineering teams focused on Databricks and enterprise data platforms.\nDefine standards for Landing, Bronze, Silver and Gold data architecture layers.\nLead implementation of CDC, LakeFlow, streaming, batch and API integration patterns.\nDrive enterprise data quality, lineage, metadata, observability and catalog capabilities.\nPartner with Data Governance, Privacy, Security, Risk, Compliance and Records Management teams.\nLead data retention, de-identification, masking and privacy initiatives.\nLead enterprise data modernization initiatives, platform transformation programs, and legacy technology rationalization efforts.\nEvaluate and implement modern cloud technologies and vendor solutions.\nProvide architectural guidance and executive-level recommendations.\nLead Agile planning, staffing, mentoring, budgeting and performance management.\nDirectly manages Data Engineers and technical resources. Responsible for hiring, coaching, performance management and career development.\nEnsure solutions comply with company policies and regulatory requirements.\n\nRequirements:\n\nDatabricks, Delta Lake, Unity Catalog, dbt and Lakehouse architecture expertise.\nStrong experience with Python, SQL, Spark and large-scale data processing.\nKnowledge of CDC, streaming, APIs, REST, GraphQL, JSON and XML.\nExperience with Azure cloud platforms and cloud-native engineering practices.\nUnderstanding of Data Governance, Data Management, metadata and data quality frameworks.\nExperience with CI/CD, DevOps and Infrastructure as Code principles.\nStrong leadership, communication and stakeholder management skills.\nProven experience leading data engineering efforts that enable AI, machine learning, or generative AI solutions, ensuring scalable, secure, and high-quality data foundations for analytics and model training.\n7+ years of Data Engineering experience with enterprise data platforms.\n3+ years leading technical teams.\nExperience with Databricks, Spark and modern cloud data ecosystems required.\nRemoved legacy requirements including Visual Studio 2013/2015, SSIS-centric ETL development and SQL Server-focused architecture.\nBachelor degree preferred or equivalent experience.\nMortgage and financial services experience preferred.\n\nWhy work for #teamloanDepot:\n\nWork with other passionate, purposeful, and customer-centric team members.\nInclusive, diverse, and collaborative culture where people from all backgrounds can thrive.\nExtensive internal growth and professional development opportunities including tuition reimbursement.\nComprehensive benefits package including Medical/Dental/Vision.\nWellness program to support both mental and physical health.\nGenerous paid time off options to support work-life balance.\n\nAbout loanDepot:\n\nloanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.\n\nBase pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $149,000 and $204,500. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.\n\nWe are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.","datePosted":"2026-11-05T07:48:26.158Z","dateModified":"2026-11-05T07:48:26.158Z","hiringOrganization":{"@type":"Organization","name":"LoanDepot","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f2c0a50eca1d4937e64e71a3"},"url":"https://jobsearcher.com/jobs/f2c0a50eca1d4937e64e71a3"}}