[Remote] Data Quality Engineer

Note: The job is a remote job and is open to candidates in USA. Trilon is building a supercharged, technology-enabled future for their people and partners. The Data Quality Engineer plays a critical role in ensuring the accuracy, consistency, completeness, and trustworthiness of data across the Data Platform, while collaborating with Data Engineers and product teams to maintain high data quality standards.ResponsibilitiesDefine, maintain, and evolve the enterprise data quality rubric across all data domainsEstablish standards for data accuracy, completeness, consistency, timeliness, and reliabilityEnsure data quality expectations are clearly defined and consistently applied across the platformGovern how data quality is measured, scored, and reportedDesign and implement automated data quality checks within data pipelinesBuild validation rules that detect anomalies, schema drift, missing data, and inconsistenciesEnsure issues are identified at the source before propagating downstreamContinuously improve validation coverage and effectivenessBuild and maintain observability systems for pipeline health, data freshness, and performanceMonitor data flows for failures, delays, and unexpected changesProvide visibility into pipeline status and data quality metrics across the platformImplement alerting and reporting mechanisms for critical issuesDiagnose data quality issues and trace them back to source systems or pipeline logicPartner with Data Engineers to resolve issues at the pipeline levelWork with product and AI teams to understand how data issues impact tool behaviorEnsure root causes are addressed and not repeatedWork with the Lead Data Engineer to align on pipeline architecture and quality standardsPartner with pod Data Engineers to embed quality checks into all pipelinesCollaborate with Lead Engineers and Applied AI Engineers to understand downstream impactsCommunicate data quality insights clearly to both technical teams and leadershipScore and report on data quality across the platform on a defined cadenceProvide leadership with a clear view of data health, risks, and improvement areasIdentify systemic issues and drive improvements in data processes and standardsContinuously refine data quality practices as the platform evolvesSkillsExperience designing scalable technical architectures for AI or machine learning solutions in enterprise environmentsStrong understanding of large language models, vector databases, embeddings, prompt orchestration, and model servingHands-on experience with Azure services including Azure OpenAI, Azure Machine Learning, and Azure FunctionsFamiliarity with LLM frameworks and orchestration tools such as LangChain, Semantic Kernel, or custom agent frameworksKnowledge of enterprise security, responsible AI principles, and compliance frameworks such as GDPR and CCPAProven ability to create architecture documentation and communicate effectively with technical and non-technical audiencesExperience integrating AI solutions into platforms such as Power Platform, SharePoint, and Microsoft TeamsBachelor's or master's degree in computer science, data science, engineering, or related fieldCertifications in cloud architecture or AI/ML disciplines preferredCompany OverviewGreat infrastructure does more than support communities—it shapes how people live, move, and connect every day. It was founded in 2021, and is headquartered in Denver, Colorado, USA, with a workforce of 5001-10000 employees. Its website is https://www.trilongroup.com/.