Databricks Architect

Bachelor’s or master’s degree in computer science, AI/ML, or related field. 8+ years of enterprise software experience, with at least 5+ years in data, data modelling, data warehouse and ETL’s 3+ years hands on experience withDatabricks ·Strong experience with Databricks on Azure/AWS cloud, with proven experience in designing data Lakehouse architecture ·Expertise with Unity Catalog for centralized governance, RBAC, auditing, access control and lineage ·In-depth knowledge of ADLS Gen2, Key Vault, AWS Lake Formation, S3, Glue, Lambda and orchestration using MWAA ·Deep expertise in PySpark, Spark, Data Quality frameworks and distributed data processing ·Expertise in designing and implementing MLOps practices using tools like MLflow for experiment tracking, model registry, and scalable deployment. ·Proven experience with core Azure/ AWS AI/ML services, including Amazon SageMaker for model building and deployment, and Amazon Bedrock for generative AI applications. ·Ability to architect solutions that seamlessly integrate Databricks with native Azure/AWS AI/ML services Preferred Qualifications: Experience with GenAI and AI engineering platforms Insurance or Financial Services domain exposure Knowledge of: Real-time analytics MLOps Data meshDatabricks certifications:

Apply Now