Remote Databricks Developer Jobs in Riverside, CA

JOB SUMMARY:

The Regional Senior Solutions Architect is a client-facing strategist and pre-sales Data & Analytics 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 senior-level 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 pre-sales - 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.
• Provide mentorship and enablement to regional architects, advisors, and account teams to elevate technical competency and sales effectiveness.
• Contribute to Trace3's market presence through public speaking, events, and content development that reinforce thought leadership.

REQUIRED SKILLS AND EXPERIENCE:

• 10+ years of experience in data architecture, data engineering, or analytics platform design, with at least 3-5 years in a pre-sales, client advisory, or consulting capacity.
• Deep expertise in data architecture and engineering, including data modeling, ingestion pipelines (ETL/ELT), integration frameworks, and performance optimization.
• Proven ability to evaluate, modernize, and architect enterprise data platforms across on-prem and cloud environments.
• Hands-on proficiency with modern data technologies such as Snowflake, Databricks, Microsoft Fabric, Synapse, BigQuery, or similar.
• Strong working knowledge of data governance, observability, analytics enablement, and adjacent technology domains (Cloud, Infrastructure, and Security).
• Demonstrated success driving pipeline and supporting sales cycles from opportunity qualification and solution design through proposal, presentation, and closure.
• Exceptional executive communication, storytelling, and relationship-building
• Experience creating high-quality deliverables including architecture diagrams, proposals, and Statements of Work.
• Strong business acumen and ability to connect data investments to tangible business outcomes and ROI.
• Familiarity with AI/ML applications and their integration into modern data ecosystems is preferred.
• Prior experience working for a consulting or technology organization in a client-facing capacity.
• Ability to operate independently, manage multiple priorities, and lead 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, TOGAF, etc.) highly desired.