<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>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</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>
<p>Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies.</p><p>Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.</p><p>Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems.</p><p>Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals.</p><p>Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data.</p><p>Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes.</p><p>Manage end-to-end data transitions to ensure operational continuity with minimal business disruption.</p><p>Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers.</p><p>Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions.</p><p>Establish and enforce data engineering best practices, development standards, and architectural guidelines.</p><p>Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities.</p><p>Provide technical direction, guidance, and mentorship to junior engineers and team members.</p><p>Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production.</p><p>Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations.</p><p>Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps</p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<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>We are seeking a <strong>hands-on technical manager</strong> to lead and actively contribute to the design, implementation, and operation of enterprise IT infrastructure. This role combines leadership with deep technical expertise, focusing on <strong>data center technologies, networking, virtualization, and cloud platforms</strong> to ensure reliability, performance, and security across hybrid environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Act as a <strong>technical lead</strong>, actively configuring, troubleshooting, and optimizing infrastructure systems.</li><li>Manage and participate in the administration of <strong>data center technologies</strong>, including servers, storage, and <strong>VMware virtualization</strong>.</li><li>Design and maintain <strong>enterprise networking solutions</strong>, including <strong>SD-WAN</strong>, network segmentation, and advanced security practices.</li><li>Lead <strong>cloud architecture and migration projects</strong>, with hands-on experience in <strong>Azure</strong> and hybrid cloud environments.</li><li>Implement and manage <strong>Infrastructure as Code (IaC)</strong> and <strong>DevOps practices</strong> for automation and scalability.</li><li>Ensure operational excellence, cybersecurity resilience, and compliance with industry standards.</li><li>Collaborate with cross-functional teams to deliver secure, reliable, and cost-effective technology solutions.</li><li>Mentor and guide team members while remaining actively involved in technical execution.</li></ul><p><br></p>
