Solutions Architect

Ritual

Solutions Architect Analyst at Vortexa optimizing technical solutions for clients in energy markets. Engaging in presales and post-sales support while leveraging data, APIs, and integrations.

Posted 6/4/2026full-timeHouston • Texas • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Partner with Sales, Customer Success, and Product to scope presales requirements and define client-aligned technical solutions.
Lead early-stage technical qualification alongside Sales — assessing prospect API-readiness, understanding existing data infrastructure, identifying internal champions, and defining what a successful proof of concept looks like before a trial begins.
Deliver credible technical presentations of Vortexa's SDK/API capabilities to prospects and clients.
Manage trial and POC engagements with defined success criteria and milestones — owning the technical outcome from setup through to conversion decision, not just providing reactive support.
Own competitive technical positioning in client and prospect conversations — confidently addressing integration and data quality objections, and articulating Vortexa’s API advantages relative to alternatives in the market.
Create bespoke technical solutions and workflows leveraging Vortexa's external interfaces for energy and freight market intelligence use cases.
Provide ongoing support for newly onboarded API accounts, guiding integrations into client databases, applications, and BI environments.
Collaborate with CSMs and Sales to proactively identify new integration opportunities and support deeper product adoption.
Act as a client-facing conduit for product feedback, surfacing enhancement opportunities to the Product and R&D teams.
Monitor API usage health across the active client base — tracking adoption patterns, flagging accounts showing low engagement or unusual drop-off, and initiating proactive outreach before issues become churn signals.
Identify and develop technical champions within client organizations — building relationships with the individuals who own or influence the integration internally, ensuring Vortexa has an advocate when commercial conversations arise.
Actively surface expansion signals to Sales — connecting client usage patterns (e.g., new data types being queried, increased call volume) to commercial opportunities and flagging them with the relevant account owner.
Develop and maintain integration patterns, code examples, and technical documentation in Vortexa's Solutions GitHub repository (Python files, Jupyter notebooks).
Contribute to content development — including tutorials, blog posts, and roadshow materials — that showcases the capabilities of Vortexa's SDK/API.
Work collaboratively with the broader SA team using methods such as pair programming to develop efficient, reusable data scripts.
Support Sales enablement — coaching AEs on when and how to engage the SA, how to handle basic technical questions independently, and how to position API vs. GUI delivery in discovery conversations.
Support R&D teams in testing new features and improving SDK/API documentation.

Requirements

What you’ll need

Bachelor's degree (or higher) in a STEM subject, Economics, or Finance.
1–3 years of professional experience in a technical or analytically rigorous role (internships and co-ops considered).
Proficiency in Python; familiarity with SQL and/or R is a strong plus.
Practical experience working with APIs and/or databases — either in a professional context or through substantive project work.
Strong communication skills with the ability to translate technical concepts for non-technical audiences.
A client-centric mindset and comfort working in a fast-paced, commercial environment.
Background in statistical or financial modelling.
Exposure to commodities, energy (oil & gas, LNG), or freight markets — through coursework, internships, or prior roles.
Experience with data integration into BI platforms (e.g., Tableau, Power BI) or cloud environments (e.g., Snowflake).
Familiarity with Jupyter notebooks and GitHub.
Understanding of MCP (Model Context Protocol) servers and their role in connecting AI models to external data sources and tools.
Experience with agentic AI tools and LLM-based development environments (e.g., Claude Code, GitHub Copilot, Codex)

Benefits

Comp & perks

Stock-options in a fast-growing, high-potential business
A vibrant and diverse workplace
An open, collaborative, and supportive working culture built on merit, which celebrates creative thinking and “getting things done.”
The opportunity to work with AI-driven technology in a scale-up environment with commodity trading experts
401k with up to 2% contributions matched by Vortexa
Private Health Insurance offered via Blue Cross Shield
Dental and Vision cover offered via Guardian
Global Volunteering Policy to help you ‘do good’ and feel better

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLRAPI integrationdata integrationstatistical modelingfinancial modelingJupyter notebooksGitHubMCP (Model Context Protocol)

Soft Skills

strong communication skillsclient-centric mindsetability to translate technical conceptsrelationship buildingproactive outreachcollaborationcoachingproblem-solvingadaptabilityanalytical thinking

Certifications

Bachelor's degree in STEMBachelor's degree in EconomicsBachelor's degree in Finance