Job Description

Trace3 is seeking a Data/Business Intelligence Solution Architect to join their Data & Analytics Solutions practice. This senior-level, client-facing role will act as a trusted advisor and technical leader, guiding clients in the design, implementation, and optimization of modern business intelligence and observability solutions.

Responsibilities

• Partner with Sales and Account Management teams to identify and pursue data-focused client opportunities
• Lead client discovery sessions to understand business and operational goals and translate them into data architecture and analytics solutions
• Design and architect end-to-end Business Intelligence and IT observability solutions leveraging platforms such as Splunk, User Experience Monitoring tools, and cloud-native observability and monitoring platforms
• Support pre-sales initiatives including architectural design sessions, proof-of-concepts, RFP responses, and solution demos
• Architect integrations that unify logs, metrics, and traces into centralized observability dashboards and alerting frameworks
• Deliver performance analytics, business insights, and data visualizations tailored for IT and business stakeholders
• Provide architectural guidance on data ingestion, normalization, correlation, and enrichment strategies
• Support clients in implementing KPIs, service health scores, and predictive analytics using platforms such as Splunk ITSI
• Ensure alignment between data architectures and broader digital transformation, IT operations, and cloud strategies
• Serve as a technical mentor and coach for junior engineers and consultants on the Data & Analytics team

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or related field
• 8+ years of experience in data architecture, business intelligence, or IT operations analytics, including at least 3 years in a client-facing solution architecture role
• Strong expertise in Splunk architecture, including ITSI and Enterprise Security modules
• Experience designing observability solutions that incorporate User Experience Monitoring, synthetic testing, and real user monitoring
• Strong grasp of event correlation, anomaly detection, and machine learning applications in monitoring environments
• Proven ability to translate business requirements into scalable, data-driven architectures
• Familiarity with cloud-native data services (AWS, Azure, GCP) and hybrid infrastructure monitoring
• Strong presentation and communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders
• Experience working with enterprise clients and navigating complex organizational environments
• Excellent time management, organization, and multitasking skills in a fast-paced consulting environment
• Passion for emerging technologies and continuous improvement in data observability, automation, and business insight delivery

Benefits

• No benefits