Red Hat · 2 days ago
Senior Principal Engineer - Red Hat Sales Data Management (Raleigh Office)
Raleigh
Full-time
Hybrid
Senior Level, Lead/Staff
$136K/yr - $225K/yr
10+ years expRed Hat is the world’s leading provider of enterprise open source software solutions, and they are seeking a Senior Principal Engineer to lead the integration, automation, and optimization of complex data solutions. This role involves providing technical leadership in data management and collaborating with cross-functional teams to deliver high-quality data products that drive business decisions.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Enhance existing sales and renewals statistical models with AI-assisted contextual reasoning—without replacing proven methodologies
Augment static sales business rules with configurable, explainable decision layers grounded in authoritative data
Support customer- and territory-specific pattern recognition while maintaining statistical rigor
Leverage Amazon Bedrock–powered LLMs or similar as an augmentation layer, not a system of record
Apply RAG architectures to contextualize sales signals using trusted enterprise knowledge
Automate repeated sales and renewals patterns using Salesforce-connected workflows
Deliver field-facing transparency that explains how traditional signals and augmented insights work together
Maintain audit-ready, compliant sales data and AI workflows aligned with incentive and finance governance
Own and evolve the end-to-end architecture for global sales systems, decision engines, and AI-augmented services
Define standards for sales data modeling, service design, API contracts, event schemas, and hybrid AI integration
Lead architectural reviews and make principled trade-offs across scalability, cost, governance, and explainability
Act as a senior technical advisor across engineering, Sales Ops, Finance, Incentives, and Product
Design and govern enterprise-grade sales and renewals data foundations (Snowflake or similar databases)
Establish data quality, validation, reconciliation, lineage, and observability frameworks
Implement accounting-grade submission calendars and lock processes (daily, monthly, quarterly)
Ensure all sales decisions and AI-augmented outputs are traceable to authoritative sources
Architect hybrid sales decision systems combining statistical models, deterministic rules, and AI-assisted reasoning
Design and implement Retrieval-Augmented Generation (RAG) to enrich—not override—traditional model outputs
Leverage Openshift AI or Amazon Bedrock or similar to integrate foundation models in a secure, governed, non-authoritative role
Use LLMs for contextual explanation, scenario analysis, and signal enrichment, not primary scoring
Enforce guardrails such as source attribution, confidence thresholds, rule overrides, and human-in-the-loop controls
Architect systems that ingest and reason over Salesforce data to enhance renewals and pipeline models
Automate sales validation, reconciliation, anomaly detection, and forecasting workflows
Enable proactive identification of upsell, downsell, partial renewal, and other gaming risks
Architect backend services and APIs exposing trusted sales metrics alongside AI-augmented insights
Enable UI experiences that provide clear explanations of decisions and recommendations to the field
Ensure systems meet high standards for reliability, security, performance, and versioning
Set patterns for cloud-native architectures across sales data, backend services, and AI augmentation layers
Establish CI/CD standards for sales pipelines, rule engines, and RAG workflows
Define prompt versioning, evaluation, drift detection, and rollback practices
Ensure AI augmentation is observable, controlled, and measurable
Partner with Sales, Finance, Incentives, Product, and Operations leaders to align systems with business outcomes
Mentor senior engineers on architecture, sales data rigor, and responsible AI usage
Identify systemic risks and lead long-term remediation across global sales platforms
Qualification
Required
10+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in an enterprise environment with large, complex data sources
Master's degree in Computer Science, IT, Engineering, or equivalent experience
Deep expertise in relational databases (PostgreSQL, MSSQL, etc.) and query optimization
Strong programming skills for data querying, cleaning, and presentation, with hands-on experience in data-centric libraries
Ability to manage multiple projects simultaneously in a fast-paced, distributed team environment across different time zones and cultures
Exceptional logic and reasoning skills to troubleshoot complex data issues
Ability to think strategically about data architecture and project planning
Preferred
Working knowledge of DBT (Data Build Tool) and Snowflake data warehousing is highly desirable
Experience with Fivetran or similar integration tools
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
10001+ employees
H1B Sponsorship
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reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
Chris Wright
Chief Technology Officer and Senior Vice President Global Engineering
Andrew Brown
Senior Vice President & Chief Revenue Officer
Recent News
2026-01-23
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