Seeking an experienced Databricks Architect to design and support scalable cloud data architectures and data engineering solutions. The ideal candidate will have strong expertise in Hadoop, Databricks, Azure, ETL, and modern data platform technologies.
Primary Responsibilities
- Design and implement scalable data architectures using Databricks and Azure.
- Provide technical leadership for data engineering, ETL, and cloud data platform initiatives.
- Develop and optimize solutions using Delta Lake, Liquid Clustering, AI Monitoring, and Serverless Compute.
- Leverage Hadoop and Databricks environments to support enterprise data solutions.
- Collaborate with technical and business stakeholders to define architecture and deliver data solutions.
- Provide technical guidance, leadership, and best practices across data initiatives.
Required Qualifications
- 10+ years of experience in data architecture, with significant hands-on experience in Hadoop and Databricks.
- Strong expertise in Azure cloud data platforms, data engineering, and ETL processes.
- Advanced proficiency with Databricks, Delta Lake, Liquid Clustering, AI Monitoring, and Serverless Compute.
- Excellent communication, leadership, and stakeholder management skills.