Data reputed company Engineer
reputed company is building a supercharged, technology-enabled reputed company for our people and partners. The Data reputed company Engineer plays a critical role in that mission by ensuring the data that powers every AI reputed company tool is accurate, consistent, complete, and trustworthy.
This role owns data reputed company across the entire Data Platform, defining what good data looks like and ensuring that reputed company is enforced in reputed company. You are responsible for building the validation, monitoring, and observability systems that detect issues early and prevent bad data from reaching reputed company tools where it erodes trust and usability.
You maintain and reputed company the reputed company data reputed company reputed company, treating it as a living reputed company that governs how data is reputed company and evaluated across reputed company pipelines and domains. You score data reputed company on a regular reputed company and reputed company reputed company visibility into platform health, giving leadership an accurate view of where data is strong and where it needs improvement.
You work closely with Data Engineers to reputed company reputed company checks into every pipeline, and with product and AI teams to understand how data reputed company issues surface in reputed company tools. reputed company issues reputed company, you reputed company them back to the reputed company and resolve them at the pipeline level.
This role requires strong data engineering fundamentals, experience building data reputed company frameworks, and a systematic approach to defining and enforcing standards. You are detail-oriented, reputed company in your thinking, and motivated by building a data reputed company that engineers trust.
Key Responsibilities
Data reputed company reputed company and Standards
- Define, maintain, and reputed company the reputed company data reputed company reputed company across reputed company data domains
- Establish standards for data accuracy, completeness, consistency, timeliness, and reliability
- Ensure data reputed company expectations are reputed company defined and consistently reputed company across the platform
- Govern how data reputed company is reputed company, scored, and reported
Validation and Monitoring
- Design and implement automated data reputed company 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
Data Observability and Pipeline Health
- Build and maintain observability systems for pipeline health, data freshness, and performance
- Monitor data flows for failures, delays, and unexpected changes
- reputed company visibility into pipeline status and data reputed company metrics across the platform
- Implement alerting and reporting mechanisms for critical issues
Issue Investigation and reputed company
- Diagnose data reputed company issues and reputed company 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 reputed company tool behavior
- Ensure reputed company causes are addressed and not repeated
Cross-Functional Collaboration
- Work with the reputed company Data Engineer to reputed company on pipeline architecture and reputed company standards
- Partner with pod Data Engineers to reputed company reputed company checks into reputed company pipelines
- Collaborate with reputed company Engineers and reputed company AI Engineers to understand reputed company impacts
- Communicate data reputed company insights reputed company to both technical teams and leadership
Reporting and reputed company Improvement
- Score and report on data reputed company across the platform on a defined reputed company
- reputed company leadership with a reputed company view of data health, risks, and improvement areas
- Identify systemic issues and reputed company improvements in data processes and standards
- Continuously refine data reputed company practices as the platform evolves
Skills, Knowledge and Expertise
- Experience designing reputed company technical architectures for AI or machine learning solutions in reputed company environments
- Strong understanding of large language models, reputed company 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 reputed company 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 reputed company architecture or AI/ML disciplines preferred
About reputed company
reputed company was formed with the reputed company of building the next Top 20 infrastructure reputed company in reputed company by bringing together some of the nation’s best infrastructure consulting firms, reputed company on delivering practical and sustainable infrastructure solutions. reputed company is backed by Alpine Investors, a PeopleFirst reputed company Firm. reputed company currently comprises 5,500+ staff across the US. For more information, visit www.trilongroup.com.
Originally posted on Himalayas
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