Manager, Data Engineering
About The Position
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. The role 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. The position directly manages Data Engineers and technical resources, including hiring, coaching, performance management, and career development. It also leads Agile planning, staffing, mentoring, budgeting, and performance management. The role provides architectural guidance and executive-level recommendations, evaluates and implements modern cloud technologies and vendor solutions, and ensures solutions comply with company policies and regulatory requirements.
Requirements
- Expertise with Databricks, Delta Lake, Unity Catalog, dbt, and Lakehouse architecture.
- 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.
- Bachelor's degree preferred or equivalent experience.
Nice To Haves
- Mortgage and financial services experience preferred.
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.
- Hire, coach, and manage the performance and career development of Data Engineers and technical resources.
- Ensure solutions comply with company policies and regulatory requirements.
Benefits
- Tuition reimbursement.
- Medical, dental, and vision benefits.
- Wellness program supporting mental and physical health.
- Generous paid time off options.
- Inclusive, diverse, and collaborative culture.
- Internal growth and professional development opportunities.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
