Description Position at loanDepot
Position Summary:Responsible 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.
Responsibilities:- Manage and develop Data Engineering teams focused on Databricks and enterprise data platforms.
- Define standards for Landing, Bronze, Silver and Gold data architecture layers.
- Lead implementation of CDC, LakeFlow, streaming, batch and API integration patterns.
- Drive enterprise data quality, lineage, metadata, observability and catalog capabilities.
- Partner with Data Governance, Privacy, Security, Risk, Compliance and Records Management teams.
- Lead data retention, de-identification, masking and privacy initiatives.
- Lead enterprise data modernization initiatives, platform transformation programs, and legacy technology rationalization efforts.
- Evaluate and implement modern cloud technologies and vendor solutions.
- Provide architectural guidance and executive-level recommendations.
- Lead Agile planning, staffing, mentoring, budgeting and performance management.
- Directly manages Data Engineers and technical resources. Responsible for hiring, coaching, performance management and career development.
- Ensure solutions comply with company policies and regulatory requirements.
Requirements:- Databricks, Delta Lake, Unity Catalog, dbt and Lakehouse architecture expertise.
- Strong experience with Python, SQL, Spark and large-scale data processing.
- Knowledge of CDC, streaming, APIs, REST, GraphQL, JSON and XML.
- Experience with Azure cloud platforms and cloud-native engineering practices.
- Understanding of Data Governance, Data Management, metadata and data quality frameworks.
- Experience with CI/CD, DevOps and Infrastructure as Code principles.
- Strong leadership, communication and stakeholder management skills.
- Proven 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.
- 7+ years of Data Engineering experience with enterprise data platforms.
- 3+ years leading technical teams.
- Experience with Databricks, Spark and modern cloud data ecosystems required.
- Removed legacy requirements including Visual Studio 2013/2015, SSIS-centric ETL development and SQL Server-focused architecture.
- Bachelor degree preferred or equivalent experience.
- Mortgage and financial services experience preferred.
Why work for #teamloanDepot:- Work with other passionate, purposeful, and customer-centric team members.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
- Extensive internal growth and professional development opportunities including tuition reimbursement.
- Comprehensive benefits package including Medical/Dental/Vision.
- Wellness program to support both mental and physical health.
- Generous paid time off options to support work-life balance.
Base 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.
