Solutions Architect

• Own customer engagements end-to-end—from initial discovery through hands-on implementation, iteration, and production rollout
• Partner directly with CMOs, CTOs, and technical teams to design, build, and deploy data-driven solutions
• Act as the technical face of client, debugging issues, advising stakeholders, and building trust in real time
• Ensure solutions are successfully deployed, adopted, and delivering measurable value in production

Hands-On Engineering & Execution

• Write and ship production-grade SQL and/or code to model data, power campaigns, and solve real customer use cases
• Rapidly prototype and deploy solutions in live customer environments, often working directly within their data warehouse
• Build and deploy data and AI-driven solutions (including LLM-based workflows where appropriate) to address real-world problems
• Troubleshoot and resolve issues across data pipelines, integrations, and performance in production environments

Pre-Sales & Technical Discovery

• Lead technical discovery and due diligence with prospective customers, evaluating data architecture, feasibility, and fit
• Support technical discovery and proof-of-concept work, and remain engaged through production deployment.

Product Feedback & Influence

• Work cross-functionally with Engineering, Product, and GTM teams to translate customer needs into shipped product improvements
• Balance speed of customer delivery with long-term product scalability, identifying when to build custom solutions vs. drive reusable product improvements.

Scaling & Internal Leverage

• Help define, standardize, and scale best practices for how client delivers and operationalizes customer solutions
• Identify opportunities to turn bespoke solutions into reusable patterns, frameworks, or product capabilities

What Success Looks Like

• Customers successfully deploy and adopt solutions in production
• Time-to-value for new customers is reduced
• Solutions transition from custom into reusable product patterns where appropriate
• High customer trust and technical credibility

Qualifications:

• 4–7 years of experience in a technical, customer-facing role (e.g., forward deployed engineering, solutions engineering, data engineering, or similar), with demonstrated ownership of complex projects in a senior or lead capacity
• Strong SQL skills and experience working with modern data warehouses (Snowflake, BigQuery, Redshift, etc.);
• Experience with Python or similar programming language required
• Experience working with real-world data systems, data modeling, transformation, debugging, and performance optimization
• Ability to go from ambiguous problem → structured solution → working implementation quickly
• Strong product intuition and ability to translate customer needs into technical requirements and product feedback
• Comfortable working directly with customers in both technical and business contexts
• Excellent communication skills; able to explain complex technical concepts clearly and concisely
• High ownership mindset with a bias toward action and shipping
• The ability to switch between coding, debugging, and stakeholder conversations rapidly
• Curiosity and willingness to deeply understand customer problems and data ecosystems
• Experience in MarTech or customer data platforms is a plus, but not required
• Willingness to travel occasionally for key customer engagements