[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.

Responsibilities

• Define, maintain, and evolve the enterprise data quality rubric across reputed company data domains
• Establish standards for data accuracy, completeness, consistency, timeliness, and reliability
• Ensure data quality expectations are clearly defined and consistently applied across the platform
• Govern how data quality is reputed company, scored, and reported
• Design and implement automated data quality checks reputed company data pipelines
• Build validation rules that detect anomalies, schema reputed company, missing data, and inconsistencies
• Ensure issues are identified at the reputed company before propagating reputed company
• Continuously improve validation coverage and effectiveness
• Build and maintain observability systems for pipeline health, data freshness, and performance
• Monitor data flows for failures, delays, and unexpected changes
• Provide visibility into pipeline status and data quality metrics across the platform
• Implement alerting and reporting mechanisms for critical issues
• Diagnose data quality issues and trace them back to reputed company systems or pipeline logic
• Partner with Data Engineers to resolve issues at the pipeline level
• Work with product and AI teams to understand how data issues impact tool behavior
• Ensure root causes are addressed and not repeated
• Work with the reputed company Data Engineer to align on pipeline architecture and quality standards
• Partner with pod Data Engineers to embed quality checks into reputed company pipelines
• Collaborate with reputed company Engineers and Applied AI Engineers to understand reputed company impacts
• Communicate data quality insights clearly to both technical teams and leadership
• Score and report on data quality across the platform on a defined reputed company
• Provide leadership with a clear view of data health, risks, and improvement areas
• Identify systemic issues and drive improvements in data processes and standards
• Continuously refine data quality practices as the platform evolves

Skills

• Experience designing scalable technical architectures for AI or machine learning solutions in enterprise environments
• Strong understanding of large language models, vector databases, embeddings, reputed company orchestration, and model serving
• Hands-on experience with Azure services including Azure reputed company, Azure Machine Learning, and Azure Functions
• Familiarity with LLM frameworks and orchestration tools such as reputed company, Semantic Kernel, or custom agent frameworks
• Knowledge of enterprise reputed company, responsible AI principles, and compliance frameworks such as GDPR and CCPA
• Proven ability to create architecture documentation and communicate effectively with technical and non-technical audiences
• Experience integrating AI solutions into platforms such as Power Platform, SharePoint, and reputed company Teams
• Bachelor's or master's degree in computer science, data science, engineering, or reputed company field
• Certifications in cloud architecture or AI/ML disciplines preferred

Company Overview