Overview

City/State Virginia Beach, VAWork Shift First (Days)Overview:Sentara is hiring a Data Engineering Manager!This position is fully remote!OverviewDefine technical architecture to include development tools and methodologies for new technology solutions across the enterprise. Provide technology, application and data management strategies that ensure web, portal and/or analytics systems meet customer expectations and interoperate with internally developed as well as vendor-supplied systems hosted locally or in the cloud. Provide education and mentor development staff in new technology tools and methodologies. Lead definition of requirements for training curriculum of software developers. Lead senior technical staff to design application and web integration aspects of new internally developed as well as procured solutions. Key ResponsibilitiesDesign and build a metadata-driven file ingestion frameworkon Databricks aligned with medallion architectureLead onboarding of datasets using pattern-based ingestion (not one-off pipelines)Define and enforce data contractsincluding schema, keys, and data quality rulesImplement scalable ingestion patternssupporting header / no-header / schema evolution scenariosDrive table-driven configuration modelto eliminate dependency on static YAML-based onboardingIntegrate ingestionframework with governance tools (e.g., DataHub)for lineage, discovery, and ownershipEnsure strong data quality, auditability, andobservabilitythrough centralized logging and control tablesCollaborate with business and source system teams tounderstand data semantics and define keysEstablish best practices for file ingestion, schema management, and incremental processingLead vendor teams to ensure delivery aligns with target architecture and platform standards Education A bachelor's degree in computer science (Required) 15 years of experience in a complex computing environment may be considered in lieu of degree. Certification/Licensure No specific certification or licensure requirements Experience 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 PySparkfor large-scale data processingStrong understanding of medallion architecture (Bronze / Silver / Gold)Experience designing metadata-driven or configuration-driven data pipelinesDeep 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 rulesProficiency in SQL and distributed data processing conceptsExperience with Azure Data Lake Storage (ADLS) and file-based ingestion patternsFamiliarity with CI/CD, Git, and deployment practices in data engineeringExperience with data catalog and governance tools (DataHub, Collibra, Alation, etc.)Exposure to customer 360 / MDM / CRM data integration (Salesforce, Dynamics, etc.)Experienceworking in healthcare or regulated environments (HIPAA, PHI handling)Familiarity withUnity Catalog and data access governance modelsExperience integrating dataplatforms with workflow tools like ServiceNow for access managementExposure to event-driven ingestion patterns(file triggers, streaming, etc.)Experience working in large-scale migration or modernization programsStrong stakeholder management experience working with business, architecture, and vendor teamsExperience working in large-scale enterprise data platformsExperience enabling self-service data access and governanceFamiliarity with API-driven data integration patternsWe provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $ 116, 729.6 0 - $ 216,777.6 0. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtim