Required: 8+ years of experience in data engineering and distributed data platforms, including architecting and governing enterprise-scale Big Data, cloud, and AI/ML platforms across Azure, AWS, GCP, and on-premises environments, with deep Databricks Lakehouse expertise: Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL. 3+ years of experience designing and developing Cloud based Azure and AWS-based data engineering solutions, with hands-on experience using services such as AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch and CloudWatch.