Teams at Datavail

Designs and leads production-grade batch, incremental, streaming, and real-time data pipelines across Microsoft Fabric and Azure. Builds Delta Lake medallion architectures, dimensional and Data Vault models, CDC and incremental-loading solutions, CI/CD automation, governance, security, observability, and data-quality controls. Supports migrations to Fabric, prepares governed data for AI and RAG workloads, and leads client-facing engineering workstreams, estimates, risk management, mentoring, and operational handover.

Provides L2/L3 production support and enhancement development for Oracle Siebel CRM/POS systems. Responsibilities include incident resolution, root cause analysis, application and integration monitoring, workflow and batch-process support, release validation, integrations with enterprise, eCommerce, and POS platforms, documentation, and process improvement. The role collaborates with business, infrastructure, service desk, vendor, and technical program management teams while supporting Siebel domains such as order management, payments, fulfillment, and customer service.

Design and build enterprise data warehouse assets, including dimensional models, conformed dimensions, fact tables, and scalable Azure Databricks pipelines. Develop PySpark, Spark SQL, and Delta Lake transformations; implement incremental processing and CDC; translate SQL Server logic; optimize distributed workloads; and reconcile data for accuracy and auditability. Collaborate with Databricks leadership to deliver production data assets.