Databricks Architect - 15 years exp.

Troy

Company Description - ------------------ Job Description - -------------- **Role: Databricks Architect Duration: 12 months Location: Troy, MI- Remote** Minimum exp.- 14-15 yrs. **Role Overview** We are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms. **Key Responsibilities** * Architect and implement **Databricks Lakehouse** solutions for large-scale data platforms * Design and optimize batch \& streaming data pipelines using **Apache Spark (PySpark/SQL)** * Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning) * Build and manage Databricks jobs, workflows, notebooks, and clusters * Enable data governance using Unity Catalog (access control, lineage) * Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.) * Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus) * Lead solution design discussions and mentor data engineering teams **Must-Have Skills** * 10 years in data engineering / data architecture * 5 years of strong hands-on experience with Databricks * Expert in Apache Spark, PySpark, SQL * Strong experience with Delta Lake \& Lakehouse architecture * Cloud experience on Azure Databricks / AWS Databricks * Proven experience in designing high-volume, scalable data pipelines **Good-to-Have** * Unity Catalog, MLflow, Databricks Workflows * Streaming experience (Kafka / Event Hubs) * CI/CD for Databricks (Azure DevOps / GitHub) Additional Information - --------------------- All your information will be kept confidential according to EEO guidelines.