Solutions Architect | Data & Analytics (Remote)

7+ years of experience in data architecture, data engineering, or analytics platform design. 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.

Serve as a trusted data advisor to enterprise clients, guiding strategy, modernization, and platform transformation. Lead client discovery and assessment sessions to capture business requirements and translate them into actionable architecture recommendations. Evaluate enterprise data warehouse, lakehouse, and analytics architectures. Design and recommend modern data architectures across cloud and hybrid ecosystems. Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation. Produce level-of-effort estimates, solution pricing inputs, and presales-to-delivery handoffs. Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions. Partner with the Data & Analytics practice to refine GTM strategy, offerings, and practice positioning. Drive pipeline creation and growth through proactive client engagement and opportunity qualification. Build and maintain referenceable client relationships. Lead workshops, demos, proofs-of-value (POVs), rapid assessments and thought leadership sessions.