Sentara HealthRemote
Data Engineering Manager - Remote
United States of America
Full Time
3 weeks ago
$117,000 - $217,000 USD
H1B Sponsor Likely
Key skills
DatabricksPySparkMedallion ArchitectureMetadata-driven Data PipelinesData ContractsData Quality FrameworksSQLDistributed Data ProcessingAzure Data Lake StorageCI/CDGitData Catalog and Governance ToolsCustomer 360 / MDM / CRM IntegrationHealthcare Data Compliance HIPAAHealthcare Data Compliance PHIUnity CatalogServiceNow IntegrationEvent-driven Ingestion PatternsAPI-driven Data IntegrationStakeholder ManagementData EngineeringData LakeAzureServiceNowSalesforceCRMProject Management
About this role
Sentara Health is hiring a Data Engineering Manager to define technical architecture and provide technology strategies for their enterprise solutions. The role involves leading the development of data ingestion frameworks and ensuring data quality and governance across systems.
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
Requirements:
- A bachelor's degree in computer science (Required)
- 15 years of experience in a complex computing environment may be considered in lieu of degree
- 7 years of experience in information technology (Required)
- 4 years or more of experience in project management (Required)
- 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
- 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
- Strong stakeholder management experience working with business, architecture, and vendor teams
- Experience working in large-scale enterprise data platforms
- Experience enabling self-service data access and governance
- Familiarity with API-driven data integration patterns