Jobs at Datavail

Develop, automate, enhance, and support enterprise applications using Microsoft technologies. Responsibilities include .NET development, SharePoint Online administration, Power Automate workflow creation, PowerShell automation, production monitoring, incident resolution, root-cause analysis, deployments, and on-call L2/L3 support. The role works with US-based stakeholders, manages critical business applications, troubleshoots performance and workflow issues, and implements preventive improvements.

Develop and maintain full-stack applications using .NET, React, relational databases, APIs, and cloud services. Responsibilities include database development and migrations, system integrations, automated testing, secure coding, troubleshooting, code reviews, CI/CD support, deployments, monitoring, documentation, and stakeholder collaboration. The role also contributes to AI/ML-enabled application features using AWS services and supports releases, user acceptance testing, and production stabilization.

Lead cloud Site Reliability Engineering for customer environments across AWS and Azure. Responsibilities include incident response, RCA, SLI/SLO management, observability, highly available architecture, disaster recovery, infrastructure automation, CI/CD, security, compliance, cost optimization, and cloud infrastructure operations. Serve as a senior customer technical contact, escalate complex issues, improve reliability, and mentor SRE engineers.

Designs, develops, and supports enterprise ETL/ELT pipelines, data warehouses, and integrations using SQL Server, SSIS, and Azure Data Factory. Responsibilities include modernizing legacy SSIS workloads, optimizing SQL performance, integrating APIs and SFTP, ensuring data quality, troubleshooting production issues, implementing CI/CD, and supporting hybrid cloud environments. The role also contributes to architecture decisions and may incorporate AI-enabled data engineering, anomaly detection, and intelligent automation.

Design, develop, troubleshoot, and modernize enterprise data integration and warehousing solutions. Build Azure Data Factory and ETL/ELT pipelines, migrate SSIS workloads, optimize SQL performance, integrate APIs and file-based systems, and support hybrid platforms. Ensure data quality through validation and reconciliation, resolve production issues, implement CI/CD practices, and recommend cloud modernization strategies while collaborating with technical and business stakeholders.

Develops and optimizes Power BI dashboards, reports, semantic models, datasets, DAX measures, and data models. Builds Microsoft Fabric analytics solutions using OneLake, Lakehouse, Dataflows Gen2, Warehouses, Data Factory Pipelines, and Direct Lake models. Supports Power BI-to-Fabric migrations, enterprise data modeling, KPI definition, governance, security, workspace access, deployment pipelines, capacity monitoring, and refresh performance optimization.

Provides tier-two, 24x7 managed services support for AWS and Azure production environments. Responsibilities include incident response, root cause analysis, reliability engineering, infrastructure automation with Terraform, CI/CD, containerized workload operations, observability, performance and cost optimization, and hybrid-cloud support. The role manages cloud resources, networking, storage, identity, backups, monitoring, Kubernetes deployments, and escalation handling while improving runbooks, automation, service reliability, and operational efficiency.

Supports information security, privacy, and AI management programs aligned with ISO standards. Performs compliance monitoring, audit and risk assessment support, vendor risk reviews, security control health checks, and ticket management in ServiceNow GRC. Reviews security domains including vulnerability management, DLP, endpoint security, and SIEM, while preparing compliance dashboards, metrics, and management reports. Helps improve control effectiveness, reporting quality, and process efficiency.

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.

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.