Teams at Datavail

Design, develop, and optimize enterprise-scale data platforms, pipelines, data lakes, warehouses, and analytical datasets on Azure and Snowflake. Build ETL/ELT processes using ADF, Databricks, PySpark, SQL, Python, and Snowflake. Manage data models, governance, security, quality, CI/CD, cloud migrations, and performance optimization. Collaborate with stakeholders, troubleshoot production issues, document solutions, and support Agile delivery.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Support managed-service customers by administering production Oracle databases, including monitoring, backup and recovery, maintenance, patching, upgrades, performance troubleshooting, security, and high-availability solutions. Assist with installations, automation, documentation, incident and change management, and availability and capacity reporting. The role is customer-facing and involves supporting Oracle environments across on-premises and cloud platforms while developing Database-as-a-Service capabilities under senior DBA guidance.