Databricks Data Engineer

Databricks Data Engineer Experience Required: 8-10 Dublin, OH ContractAs a Databricks Data Engineer with a Solution Architect background, you will lead the design of enterprise-scale data solutions, establish engineering standards and best practices, optimize platform performance and cost, and provide technical leadership for cloud modernization, real-time analytics, AI/ML enablement, and data governance initiatives. This role requires strong expertise in Spark, Delta Lake, Unity Catalog, cloud architecture, Infrastructure as Code (IaC), and modern data platform engineering principles to deliver secure, resilient, and highly scalable solutions. We are seeking a highly skilled and experienced Senior Solution Architect to lead the implementation and adoption of the Databricks Lakehouse Platform as part of our enterprise data strategy. This role will serve as the technical leader and subject matter expert for Databricks, supporting multiple business segments and strategic initiatives across the organization.Roles & Responsibilities:Applies advanced expertise in Databricks, Spark, Delta Lake, and cloud-native architectures to design and govern large-scale enterprise data platforms.Leads architecture decisions for cloud-based data and analytics solutions, ensuring scalability, security, resiliency, and operational excellence across Azure, AWS, or GCP environments.Establishes and evolves platform standards, best practices, and governance frameworks for data engineering, streaming, AI/ML, and analytics workloads.Recommends innovative technologies, architectural patterns, and optimization strategies toRole Descriptions:Databricks (Python and SQLPySpark) - Azure SQL Server (Managed Instance| Azure SQL DB| SQL Server VMs) - Data modeling and ETL/ELT design patterns - Docker and Azure Kubernetes Service (AKS) for select automation - Performance optimization and scalabilityExperience - 7 years enterprise data engineering - Healthcare data integration experience strongly preferred - Experience with large-scale data harmonization and normalizationEssential Skills:Databricks (Python and SQLPySpark) - Azure SQL Server (Managed Instance| Azure SQL DB| SQL Server VMs) - Data modeling and ETL/ELT design patterns - Docker and Azure Kubernetes Service (AKS) for select automation - Performance optimization and scalabilityExperience - 7 years enterprise data engineering - Healthcare data integration experience strongly preferred - Experience with large-scale data harmonization and normalizationDesirable Skills:Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.