Solutions Architect

Job role: Solutions Architect

Duration: 6 months, contract to hire

Location: Remote

The Role:

As a Forward Deployed Engineer at client, you will work directly with customers to design, build, and deploy solutions using client platform, owning technical delivery from initial discovery through production.

This is a hands-on, senior engineering role focused on building real systems in live customer environments—not a purely pre-sales or advisory position. You will partner closely with customer stakeholders and internal teams to solve complex data and marketing problems, personally writing and shipping the code that drives customer outcomes.

You’ll operate at the intersection of engineering, product, and go-to-market, helping customers realize value quickly while surfacing patterns that inform how our product evolves.

What You’ll Do:

Customer Delivery & Ownership

• 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