JOB SUMMARY:The Solutions Architect, Data & Analytics is a client-facing strategist and pre-sales leader who helps organizations define and execute their modern data journey. This individual will play a pivotal role in shaping client outcomes, driving pipeline growth, and contributing to Trace3's go-to-market success.This role blends deep technical mastery in data architecture and engineering with the business acumen to influence executive strategy, design scalable architectures, and connect technology decisions to business value. The ideal candidate moves effortlessly between whiteboarding a data platform design, presenting a modernization roadmap to executives, and helping regional sales teams capture and advance opportunities.SUMMARY OF ESSENTIAL JOB FUNCTIONS:Serve as a trusted data advisor to enterprise clients, guiding strategy, modernization, and platform transformation through consultative, outcome-based engagement.Lead client discovery and assessment sessions to capture business requirements, define success criteria, and translate needs into actionable architecture recommendations.Evaluate enterprise data warehouse, lakehouse, and analytics architectures for feasibility, scalability, risk, and alignment with organizational goals.Design and recommend modern data architectures across cloud and hybrid ecosystems (AWS, Azure, GCP, Snowflake, Databricks, Synapse, BigQuery, etc.).Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation that clearly communicate Trace3's value and differentiation.Produce level-of-effort estimates, solution pricing inputs, and clean presales-to-delivery handoffs to ensure client success and delivery readiness.Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions that span Trace3's broader technology portfolio.Partner with the Data & Analytics practice to refine GTM strategy, offerings, and practice positioning.Drive pipeline creation and growth through proactive client engagement, opportunity qualification, and strategic pursuit support.Build and maintain referenceable client relationships, ensuring long-term trust and measurable outcomes.Lead workshops, demos, proofs-of-value (POVs), rapid assessments and thought leadership sessions to educate and inspire clients.REQUIRED SKILLS AND EXPERIENCE:7+ years of experience in data architecture, data engineering, or analytics platform design, with at least 5+ years in a client advisory, pre-sales, or consulting capacity.Solid expertise in data architecture and engineering, including data modeling, ETL/ELT pipelines, integration frameworks, and performance optimization.Demonstrated ability to design and implement enterprise data platforms across on-premises and cloud environments.Hands-on experience with modern data technologies such as Snowflake, Databricks, Microsoft Fabric, Synapse, BigQuery, or similar.Working knowledge of data governance, analytics enablement, and related technology domains (Cloud, Infrastructure, Security).Experience supporting sales cycles through solution design, proposal development, and presentations.Strong communication and relationship-building skills, with the ability to present technical concepts to both technical and non-technical audiences.Ability to create high-quality deliverables including architecture diagrams and technical documentation.Business acumen to connect data solutions to business outcomes and ROI.Familiarity with AI/ML applications and their integration into data ecosystems is a plus.Prior experience working for a consulting or technology organization in a client-facing capacity preferred.Ability to work independently and as part of cross-functional teams.Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.Relevant certifications (AWS/Azure/GCP Architect, Snowflake SnowPro, Databricks Certified Data Engineer, etc.) are desirable.