<p><br></p><ul><li>Oversee and maintain the organization’s Quality Management System (QMS), ensuring compliance with all relevant industry standards and regulatory requirements.</li><li>Manage internal and external audits, including preparation, execution, and corrective follow‑up with customers, registrars, and regulatory agencies.</li><li>Drive standardization and continuous improvement of quality systems, procedures, and documentation across all departments.</li><li>Lead cross‑functional process improvement initiatives using Lean Six Sigma methodologies to reduce waste, increase efficiency, and improve product quality.</li><li>Direct root cause analysis and corrective/preventive action (CAPA) processes to address systemic quality issues.</li><li>Ensure organization‑wide training, deployment, and adherence to QMS requirements.</li><li>Support product launches, engineering changes, and manufacturing process modifications to ensure quality system compliance.</li><li>Maintain and enhance digital quality tools such as document control systems, audit tracking platforms, and corrective action workflows (experience with platforms like SharePoint or SAP is a plus).</li></ul><p><br></p>
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
<p>Key Responsibilities</p><ul><li>Design, build, and maintain end-to-end data pipelines using Azure-native services</li><li>Develop and optimize ETL/ELT processes using Azure Data Factory, Databricks, and SQL</li><li>Create and manage data models for analytics and reporting use cases</li><li>Integrate data from ERP, CRM, operational systems, and external sources</li><li>Ensure data quality, reliability, and performance across data platforms</li><li>Implement data governance, security, and access controls</li><li>Monitor and troubleshoot pipeline failures and performance issues</li><li>Collaborate with BI teams, analysts, and business stakeholders to support reporting needs</li><li>Maintain technical documentation and data standards</li></ul><p><br></p><p><br></p>
<ul><li>Design, build, and maintain CI/CD pipelines for application and infrastructure deployments</li><li>Automate infrastructure using Infrastructure as Code (Terraform, CloudFormation, ARM, etc.)</li><li>Manage and optimize cloud environments (AWS, Azure, or GCP)</li><li>Support containerized platforms using Docker and Kubernetes</li><li>Monitor system performance, availability, and reliability</li><li>Implement logging, monitoring, and alerting solutions</li><li>Improve system security, resiliency, and disaster recovery processes</li><li>Collaborate with development teams to streamline build and release processes</li><li>Troubleshoot production issues and support incident response</li><li>Maintain documentation, runbooks, and operational standards</li></ul><p><br></p><p><br></p>
<p>The Cloud Engineer will design, deploy, and maintain secure, scalable cloud infrastructure to support the organization’s business applications and technology needs. This role focuses on cloud architecture, automation, system reliability, and performance optimization across platforms such as Azure and AWS. The ideal candidate has strong experience with Infrastructure‑as‑Code, virtualization, networking, and cloud-native services.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p><strong>Cloud Architecture & Engineering</strong></p><ul><li>Design, implement, and manage cloud-based infrastructure (Azure, AWS, or GCP depending on org).</li><li>Build and maintain scalable, secure, and highly available cloud solutions.</li><li>Develop Infrastructure‑as‑Code (IaC) using tools like Terraform, ARM/Bicep, or CloudFormation.</li><li>Implement automation for provisioning, configuration, deployments, and patching.</li></ul><p><strong>Systems Deployment & Administration</strong></p><ul><li>Configure and administer virtual machines, containers, storage accounts, databases, and networking resources.</li><li>Manage identity, access control, and cloud security policies.</li><li>Support hybrid environments including VPNs, ExpressRoute, or similar connectivity methods.</li></ul><p><strong>Monitoring, Performance & Reliability</strong></p><ul><li>Deploy and maintain monitoring tools (CloudWatch, Azure Monitor, Grafana, etc.).</li><li>Troubleshoot cloud infrastructure issues, identify root causes, and implement long-term fixes.</li><li>Optimize cost, performance, scalability, and disaster recovery designs.</li></ul><p><strong>Security, Compliance & Governance</strong></p><ul><li>Implement cloud security best practices including encryption, key management, RBAC, and MFA.</li><li>Maintain compliance with organizational and regulatory standards.</li><li>Participate in vulnerability management and cloud-related incident response.</li></ul><p><strong>Collaboration & Support</strong></p><ul><li>Partner with development and DevOps teams to support CI/CD pipelines and cloud workloads.</li><li>Provide technical guidance to cross-functional teams on cloud capabilities.</li><li>Document system architecture, runbooks, and operational procedures.</li></ul><p><br></p>
