Senior Solutions Architect · Data & AI Platforms

Randy Navagamuwa

I architect the data foundations behind decisions at scale.

I help enterprises across APAC turn complex data estates into scalable analytics and AI platforms, from architecture discovery through production adoption.

Melbourne, AustraliaLeading enterprise data, distributed analytics, and applied AI engagements across ANZ & North Asia.
Modern architecture in Melbourne Docklands
Selected impact

Technical depth, measured in business outcomes.

9+ years spanning software engineering, enterprise integration, real-time analytics, and modern data architecture.

$100K→$5MAPAC revenue growth supported through enterprise integration engagements
400%APAC customer-base growth through real-time analytics engagements
<100msquery latency achieved for high-volume analytics workloads
FintechTradingGamingHealthcareLogisticsTelecommunicationsGovernment
What I solve

Architecture that connects data, systems, and people.

01

Enterprise data platforms

Federated and lakehouse architectures that unlock data across warehouses, lakes, and operational systems without unnecessary movement.

TrinoData federationLakehouse
02

Real-time analytics

High-concurrency analytical systems for event-heavy workloads where low latency and predictable performance matter.

Apache PinotStreaming dataPerformance
03

Enterprise integration

API, microservices, and B2B integration platforms that modernize critical business processes securely and reliably.

APIsMicroservicesiPaaS
04

Applied AI architecture

Enterprise AI systems grounded in governed data, with practical patterns for LLMs, retrieval, and agentic workflows.

LLMsRAGAgentic AI
Experience

From building platforms to shaping enterprise strategy.

2025 — Present

Starburst ↗ · Senior Solutions Architect

Leading data platform and AI architecture engagements across Australia, New Zealand, Japan, and Korea.

2022 — 2025

StarTree ↗ · Solutions Architect

Designed real-time analytics platforms and led enterprise proofs of concept across APAC, growing the regional customer base by 400%.

2019 — 2022

WSO2 ↗ · Associate Lead Solutions Engineer

Led enterprise integration and API platform initiatives, expanding APAC revenue from USD 100K to USD 5M.

2017 — 2019

AdroitLogic ↗ · Senior Software Engineer

Built secure B2B integration products and delivered mission-critical platforms for large financial organisations.

2016 — 2017

Eclipse Foundation ↗ · GSoC Intern & Contributor

Created pair-programming capabilities for Eclipse Che, enabling real-time collaboration in a cloud IDE.

How I work

Clarity before complexity.

The best architecture is not the one with the most technology. It is the one teams understand, trust, and can operate. I work across executive, product, engineering, and sales conversations to turn ambiguous problems into systems that deliver.

My foundation is a BSc (Hons) in Computer Science & Engineering from the University of Moratuwa, backed by hands-on experience across fintech, trading, gaming, healthcare, logistics, telecom, and government.

Randy Navagamuwa
Randy NavagamuwaMelbourne, Australia
01
Discover the real constraint

Start with the decision, user, and operating context before choosing the platform.

02
Prove value early

Use focused workshops and proofs of concept to reduce risk and build alignment.

03
Design for adoption

Connect the technical architecture to the teams and processes that will make it succeed.

Selected engagements

Complex platforms, made actionable.

A representative view of the problems I have helped customers and engineering teams move forward.

Thinking & building

Technical work beyond delivery.

Writing

Architecture ideas in the open

Notes and perspectives on distributed data, real-time analytics, enterprise integration, and the systems around them.

Read on Medium ↗
Engineering

Built from the platform layer up

Open-source work and code reflecting a foundation in software engineering, integration systems, and cloud development environments.

View GitHub ↗
Start a conversation

Working through a hard data or AI problem?

I’m always open to thoughtful conversations about enterprise architecture, modern analytics, and what it takes to move from platform ambition to adoption.