Jobs at Datavail

Designs, develops, and governs enterprise data platforms using Databricks and Microsoft Fabric. Builds scalable pipelines, lakehouses, warehouses, semantic models, data marts, automation frameworks, and data-quality validation systems. Leads data engineering through the full delivery lifecycle, implements security and governance controls, supports CI/CD and infrastructure automation, optimizes Spark workloads, and collaborates with stakeholders and technical teams. The role also includes mentoring engineers and establishing reusable engineering standards.

Lead the end-to-end implementation of Oracle Eloqua integrated with Oracle Sales Foundation or Oracle CX Sales. Responsibilities include requirements gathering, solution design, configuration, campaign and automation development, integrations, data migration, testing, deployment, user training, documentation, and post-go-live support. The consultant will manage stakeholders and cross-functional teams, resolve functional and technical issues, and ensure delivery standards, governance, and timelines are met.

Leads a Cloud ERP managed services support team, setting objectives, coaching employees, managing capacity and rosters, and overseeing performance. Provides technical leadership, handles escalations, monitors SLA and OLA metrics, and drives incident and problem management. Improves processes, ensures security and compliance, identifies training needs, supports recruitment and performance reviews, and manages continuous knowledge transfer and internal projects.

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using AWS, Python, PySpark, SQL, Redshift, RDS, and SSIS. Optimize data processing, implement infrastructure with Terraform and YAML, manage code with Git, and support containerized workloads using Podman. Monitor data platforms, ensure quality, security, and performance, troubleshoot production issues, and collaborate with technical and business stakeholders.

Develop and optimize Power BI dashboards, reports, semantic models, datasets, DAX measures, and enterprise data models. Build solutions using Microsoft Fabric components, support Power BI-to-Fabric migrations, implement security and governance standards, manage workspace access and deployment pipelines, and monitor capacity and refresh performance while collaborating with business users and data engineers.

Design and execute end-to-end data validation for ETL/ELT pipelines across cloud warehouses. Validate data accuracy, completeness, and integrity; develop complex SQL for analysis; run functional, regression, and integration tests; build automated data test frameworks; collaborate with engineers and product teams; track defects and mentor junior QA engineers.

The Oracle Cloud SCM Functional Consultant will manage the implementation and support of Oracle Fusion Applications, focusing on supply chain management modules. Responsibilities include functional configuration, documentation, testing, and collaboration with teams.

Design and execute end-to-end data validation strategies for ETL/ELT pipelines across cloud data warehouses. Validate data accuracy, completeness, and integrity; develop and optimize complex SQL for validation and analysis; perform functional, regression, and integration testing; build automated test frameworks; collaborate with data engineers and product teams; ensure data quality and governance; identify and track defects; mentor junior QA engineers.

Provide 24/7 system administration and end-user IT support for Windows/Linux environments, virtualization (Hyper-V, Nutanix), cloud (AWS/Azure), storage (SAN/NAS), AD/Exchange/O365, backup/restore, networking, logging, patching, and configuration management using Ansible/Terraform. Handle troubleshooting, server builds, migrations, monitoring, and ITIL processes; participate in server project rollouts and on-call rotations.

Provide operational ownership for an enterprise monitoring platform: monitor health and alerts, manage incidents and escalations, coordinate with DBA, infra and dev teams, drive RCA and reliability improvements, optimize ServiceNow workflows, enable CI/CD and reliability practices, and support observability across cloud and multiple database technologies.