We are looking for an experienced Cloud Administrator to oversee and enhance our cloud and hybrid infrastructure, ensuring optimal performance, security, and scalability. This role requires proactive management of enterprise systems and a hands-on approach to Azure-based technologies. You will play a critical role in implementing best practices, collaborating with teams, and driving innovation within our IT operations.<br><br>Responsibilities:<br>• Design, implement, and maintain robust Azure-based infrastructure, including virtual machines, networking, storage, and identity management.<br>• Manage Azure Active Directory configurations, ensuring secure access and identity governance.<br>• Optimize cloud resources to achieve maximum performance, scalability, and cost efficiency.<br>• Implement and monitor security protocols across both cloud and on-premises environments.<br>• Ensure compliance with industry standards while managing firewalls, VPNs, and endpoint security solutions.<br>• Administer hybrid systems that integrate on-premises and Azure cloud infrastructures.<br>• Troubleshoot and resolve complex infrastructure issues while monitoring system performance.<br>• Develop and maintain automation scripts using tools such as PowerShell, Terraform, or Azure templates.<br>• Collaborate with DevOps teams to improve CI/CD pipelines and adopt cloud-native practices.<br>• Mentor less experienced team members, contribute to strategic IT planning, and support disaster recovery initiatives.
We are looking for an experienced Network Architect to design and implement advanced infrastructure solutions tailored to meet organizational needs. This role requires expertise in system architecture, cloud-based platforms, and secure network operations to support business-critical applications. Join our team in The Woodlands, Texas, where you will help shape and optimize the backbone of our technology systems.<br><br>Responsibilities:<br>• Develop and implement robust network architectures that align with business objectives.<br>• Collaborate with stakeholders to identify and integrate solutions for identity and access management (IAM).<br>• Design and oversee API development processes to ensure seamless system interoperability.<br>• Lead efforts in configuring and managing Amazon EC2 instances for scalable cloud operations.<br>• Optimize application architecture to enhance performance and security across platforms.<br>• Provide technical guidance for Snowflake integration and ensure efficient data warehousing.<br>• Monitor and troubleshoot network performance to maintain high availability and reliability.<br>• Establish and enforce security protocols to safeguard critical systems and data.<br>• Conduct regular evaluations of infrastructure to identify areas for improvement.<br>• Document processes and provide training to ensure effective knowledge transfer.
We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance.<br><br>Responsibilities:<br>• Develop and implement scalable data engineering solutions using Python and Databricks.<br>• Collaborate with cross-functional teams to design and optimize data workflows.<br>• Migrate and enhance existing Python scripts to Databricks for improved functionality.<br>• Utilize cloud technologies to support data integration and analytics processes.<br>• Implement algorithms and data visualization methods to present actionable insights.<br>• Design and maintain APIs to streamline data interactions and integrations.<br>• Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems.<br>• Perform data analysis and develop strategies to improve system efficiency.<br>• Ensure high-quality data pipelines and address performance bottlenecks.<br>• Stay updated on emerging trends in data engineering and recommend innovative solutions.
<p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
<p>Position Overview</p><p>We are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.</p><p>The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.</p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul><p>e2. Integration & Automation</p><ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul><p> 3. Performance, Reliability & Monitoring</p><ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul><p>a4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul><p>r5. Security, Compliance & Risk Management</p><ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>