The Role
Own solution architecture for client engagements, including data models, system designs, integration patterns, and technology choices. Lead technical discovery, present architectural trade-offs, define reusable standards, and review delivery-team implementations. Build prototypes, proofs of concept, and early pipeline or application components to validate decisions. Partner with engineers to resolve ambiguity, establish testing and monitoring foundations, and contribute to internal tooling and knowledge-sharing.
Summary Generated by Built In
SUMMARY STATEMENT
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
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5-8+ years of experience spanning data engineering and software engineering, with experience transitioning into solution or systems architecture
- Experience designing data models, system architectures, and integration patterns for production systems
- Hands-on proficiency in at least one modern programming language, such as Python or TypeScript
- Experience prototyping pipeline or application components
- Knowledge of data engineering fundamentals, including pipeline design, data modeling, and ETL/ELT
- Knowledge of software engineering fundamentals, including API design, testing, and CI/CD
- Experience in a consulting or client-facing environment
- Experience with AWS, GCP, or Azure cloud platforms
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The Company
What We Do
At Lynx Analytics, we unravel a world of connections that hold the most paramount business intelligence; through the combinations of graph analytics, A.I. and machine learning. We live in a massively connected world - with new lines of connections rapidly forming every millisecond. And with this, newer and more relevant data that can either make or break businesses. Founded in 2010, Lynx Analytics is the brainchild of a group of INSEAD students and professors. Today we are home to an extremely talented team of data experts from top academic institutions like INSEAD, NUS and NTU. Our award-winning technology and Customer Happiness Index solution are deployed by leading communication service providers, and an increasing number of other data-rich enterprises - with the primary aim to regain control over customer satisfaction and drive critical business impact. In 2016 Hong Kong Telecom became our strategic investor and client.
