We are looking for an experienced Oracle Cloud/Fusion Project Manager to lead critical ERP implementation projects for our client in Houston, Texas. This long-term contract position requires a dynamic individual with strong attention to detail, expertise in managing complex enterprise software deployments, and the ability to foster collaboration between stakeholders and implementation partners. The ideal candidate will bring a strategic mindset and a proven ability to deliver high-quality results in fast-paced environments.<br><br>Responsibilities:<br>• Develop and maintain comprehensive project plans to ensure timely execution of Oracle Cloud/Fusion implementation phases.<br>• Identify and manage project risks and issues, providing mitigation strategies and resolutions as needed.<br>• Prepare and deliver detailed project status updates to stakeholders, including executive steering committees.<br>• Collaborate closely with implementation partners to align objectives and ensure seamless execution.<br>• Facilitate requirements gathering sessions and translate business needs into actionable tasks.<br>• Oversee configuration management and ensure adherence to project standards and methodologies.<br>• Coordinate with cross-functional teams to ensure alignment and successful project outcomes.<br>• Monitor project progress and adjust resources or timelines to meet objectives efficiently.<br>• Ensure all deliverables meet quality standards and client expectations.<br>• Provide leadership and mentorship to project team members, fostering a productive work environment.
<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>
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.