Solution Architect (US)

Lynxanalytics; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Lynxanalytics is seeking a Solution Architect to design the technical solutions behind client engagements, providing a clear path from concept to production.

You will define data models, system architectures, and integration patterns, and validate designs hands-on with prototypes, guiding delivery teams through early validation and tech decisions.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5-8+ years in data and software engineering with architecture experience.
• Experience designing data models, system architectures, and integration patterns for production systems.
• Hands-on proficiency in at least one modern language and prototyping ability.
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.

Responsibilities

• Own solution architecture for client engagements: data models, system design, integration patterns, and technology choices.
• Lead technical discovery with clients: understand requirements, assess existing systems, and present architectural options.
• Define standards, reusable patterns, and reference architectures that engineers can build on.
• Make pragmatic trade-offs between build speed, cost, scalability, and maintainability, and explain the reasoning.
• Review technical designs and key implementation decisions to ensure alignment with the architecture.

Skills

Architectural design

Data modeling

Python/Typescript

Client facing

Cloud platforms (AWS/GCP/Azure)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

CI/CD tooling

Prototyping tools

Job description

We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will define data models, system architecture, and integration patterns, and validate those designs hands‑on - building prototypes, proofs of concept, and early pipeline or application components to de‑risk decisions before a full delivery team builds on them. This is an architecture‑first role: data and software engineering work you do is in service of setting technical direction and unblocking delivery teams, not sustained production‑scale build.

KEY RESPONSIBILITIES

Solution Architecture

• Own solution architecture for client engagements: data models, system design, integration patterns, and technology choices, translated into designs delivery teams can build from.
• Lead technical discovery with clients: understand requirements, assess existing systems, and present architectural options and trade‑offs to technical and non‑technical stakeholders.
• Define standards, reusable patterns, and reference architectures that other engineers at Lynx can build on across engagements.
• Make pragmatic trade‑offs between build speed, cost, scalability, and maintainability, and clearly explain the reasoning behind them.
• Review technical designs and key implementation decisions from delivery teams to ensure they stay aligned with the intended architecture.

Hands‑On Validation & Enablement

• Validate architectural decisions hands‑on - building prototypes, proofs of concept, and early data pipeline or application components to test feasibility before full‑scale build.
• Partner with data engineers and software engineers to unblock them on ambiguous technical problems, then hand off cleanly once the direction is proven.
• Set up early evaluation, testing, or monitoring approaches so delivery teams inherit a working foundation, not just a diagram.
• Contribute to internal tooling, accelerators, and knowledge‑sharing that raise the technical bar across the practice.

SKILLS, QUALIFICATIONS AND EXPERIENCE

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-8+ years of experience spanning data engineering and software engineering, with demonstrated experience moving into solution or systems architecture.
• Track record of designing data models, system architectures, and integration patterns for production systems, not just diagramming them.
• Hands‑on proficiency in at least one modern language (e.g., Python, Typescript, or similar) and comfort prototyping pipeline or application components personally.
• Solid grounding in data engineering fundamentals (pipeline design, data modeling, ETL/ELT) and software engineering fundamentals (API design, testing, CI/CD).
• Experience working in a consulting or client‑facing environment - comfortable leading discovery conversations, presenting trade‑offs, and managing ambiguity.
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.

KEY COMPETENCIES

• Architectural Judgment: Balances build speed, cost, scalability, and maintainability, and knows when to prototype personally versus hand off to a data or software engineer.
• Stakeholder Mentality: Treats the company's and client's goals as their own and is genuinely motivated by delivery success.
• Technical Communication: Translates complex architectural decisions clearly for both engineers and non‑technical business stakeholders.
• Discretion & Integrity: Handles sensitive client and technical information with professionalism and sound judgement.
• Problem Solving: Approaches ambiguous technical challenges proactively and with a solution‑oriented mindset, taking initiative rather than waiting to be directed.
• Collaboration: A team player who builds strong working relationships with delivery teams and communicates effectively across all levels.

WHY YOU WILL LOVE IT HERE

• A collaborative and global culture that values real outcomes
• High ownership, zero micromanagement
• Rapid learning opportunities and diverse challenges
• Flat organisational hierarchy with high visibility and accessibility to our leaders