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
Requirements
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.
Tech Stack
AWS
Azure
Cloud
ETL
SQL
Unity
Benefits
Top of the industry benefits for Health, Dental, and Vision insurance
20 days paid time off
4 weeks paid parental leave
9 paid holidays
401K company match of up to 5%
No vesting requirement
Adoption Assistance Program
Flexible Spending Account
Educational Assistance Plan and Professional Membership assistance