Design and implement lake house architectures utilizing Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related modern data platform technologies
Develop canonical enterprise data models, business entity mappings, master data structures, and reusable data products supporting enterprise reporting, analytics, automation, and AI initiatives
Build and maintain bronze, silver, and gold data layers supporting governed, trusted, and AI-ready datasets
Develop and maintain metadata, data dictionaries, business glossaries, lineage documentation, and data catalog integrations supporting enterprise data governance
Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field required
5+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, ETL development, and Cloud Data Architecture required
Experience designing and implementing modern lake house architectures using Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, and related cloud-native data services required
Proven experience with SQL, ETL tools, and CI/CD pipelines
Hands-on experience with AWS and Azure data services and infrastructure
Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices.

Data Engineer

Key skills