Data Engineering Manager
About The Position
Overview The Data Engineering Manager is responsible for Design and build a metadata-driven file ingestion framework on Databricks aligned with medallion architecture Lead onboarding of datasets using pattern-based ingestion (not one-off pipelines) Define and enforce data contracts including schema, keys, and data quality rules Implement scalable ingestion patterns supporting header / no-header / schema evolution scenarios Drive table-driven configuration model to eliminate dependency on static YAML-based onboarding Integrate ingestion framework with governance tools (e.g., DataHub) for lineage, discovery, and ownership Ensure strong data quality, auditability, and observability through centralized logging and control tables Collaborate with business and source system teams to understand data semantics and define keys Establish best practices for file ingestion, schema management, and incremental processing Lead vendor teams to ensure delivery aligns with target architecture and platform standards Education BLD - Bachelor's Level Degree in computer science required 15 years of experience in a complex computing environment may be considered in lieu of degree. Certification/Licensure Databricks Certification (Preferred) Experience 8+ years in data engineering with strong experience in modern data platforms (Azure preferred)
Requirements
- 8+ years in data engineering with strong experience in modern data platforms (Azure preferred)
- Hands-on expertise in Databricks and PySpark for large-scale data processing
- Strong understanding of medallion architecture (Bronze / Silver / Gold)
- Experience designing metadata-driven or configuration-driven data pipelines
- Deep knowledge of data ingestion patterns (batch, file-based, incremental loads)
- Strong experience with data modeling concepts (keys, SCD, merge strategies)
- Experience implementing data quality frameworks and validation rules
- Proficiency in SQL and distributed data processing concepts
- Experience with Azure Data Lake Storage (ADLS) and file-based ingestion patterns
- Familiarity with CI/CD, Git, and deployment practices in data engineering
- BLD - Bachelor's Level Degree in computer science required 15 years of experience in a complex computing environment may be considered in lieu of degree.
Nice To Haves
- Databricks Certification (Preferred)
- Experience with data catalog and governance tools (DataHub, Collibra, Alation, etc.)
- Exposure to customer 360 / MDM / CRM data integration (Salesforce, Dynamics, etc.)
- Experience working in healthcare or regulated environments (HIPAA, PHI handling)
- Familiarity with Unity Catalog and data access governance models
- Experience integrating data platforms with workflow tools like ServiceNow for access management
- Exposure to event-driven ingestion patterns (file triggers, streaming, etc.)
- Experience working in large-scale migration or modernization programs ,enterprise data platforms
- Experience enabling self-service data access and governance
- Familiarity with API-driven data integration patterns
Responsibilities
- Design and build a metadata-driven file ingestion framework on Databricks aligned with medallion architecture
- Lead onboarding of datasets using pattern-based ingestion (not one-off pipelines)
- Define and enforce data contracts including schema, keys, and data quality rules
- Implement scalable ingestion patterns supporting header / no-header / schema evolution scenarios
- Drive table-driven configuration model to eliminate dependency on static YAML-based onboarding
- Integrate ingestion framework with governance tools (e.g., DataHub) for lineage, discovery, and ownership
- Ensure strong data quality, auditability, and observability through centralized logging and control tables
- Collaborate with business and source system teams to understand data semantics and define keys
- Establish best practices for file ingestion, schema management, and incremental processing
- Lead vendor teams to ensure delivery aligns with target architecture and platform standards
Benefits
- Medical, Dental, Vision plans
- Adoption, Fertility and Surrogacy Reimbursement up to $10,000
- Paid Time Off and Sick Leave
- Paid Parental & Family Caregiver Leave
- Emergency Backup Care
- Long-Term, Short-Term Disability, and Critical Illness plans
- Life Insurance
- 401k/403B with Employer Match
- Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
- Student Debt Pay Down – $10,000
- Reimbursement for certifications and free access to complete CEUs and professional development
- Pet Insurance
- Legal Resources Plan
- Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
