Collin Brown
Sr. Data Architect / Technical Advisor
M.Sc. Candidate, Computer Science • M.A., Economics
Proven Data Engineering and Data Architecture expertise. Track record of successful delivery of complex data-driven projects in large enterprise settings.
Combining my background in Data Science, Data Engineering, and Platform Development, I’ve driven projects at every level of the data value chain. From pioneering proof-of-concepts to leading large-scale system redesigns, I’ve honed expertise in scalable data architectures and DevOps best practices.
My focus now is on combining my technical experience with business domain knowledge to ensure that valuable concrete data solutions derive meaningful organizational value.
Skills
These are the core skills I've developed and applied meaningfully in professional settings.
Data Architecture and Data Engineering
Databricks
System Design
Test Automation
Data Modelling
Data Security
Governance
Azure Synapse
Programming Languages
Python
SQL
Java
Golang
JavaScript
R
Cloud, Infrastructure, and DevOps
GitLab
Azure
Cloud Networking
Kubernetes
GitHub
Argo Workflows
GCP
Soft Skills
Technical Communication
Requirements Gathering
Project Management
Languages
English
French
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Work Experience
Sr. Data Architect / Technical Advisor
Consumer Prices Division - Statistics Canada | 2024 - Present
Lead the development and oversight of our division’s domain-specific data lake and medallion architecture, managing data ingestion, validation, and processing pipelines while serving as a technical advisor on data engineering practices.
More Detail →Sr. Platform Developer
Various IT Teams - Statistics Canada | 2022 - 2024
Led multiple development efforts for a Kubernetes-native data analytics platform, implementing horizontal capabilities and advising on data mesh architecture.
More Detail →Data Engineer
Data Science Division - Statistics Canada | 2020 - 2022
Led an 18-month redesign of a large data processing system for transportation statistics. Delivered the solution on time, under budget, and ensured a smooth transition to production.
More Detail →Jr. Data Scientist
Data Science Division - Employment and Social Development Canada | 2018 - 2020
Led Proof-of-Concept projects in data analytics and machine learning, delivering actionable insights and automation through small-scale internal tools and analysis outputs.
More Detail →Education
Georgia Institute of Technology
Master of Science in Computer Science
Specialization in Artificial Intelligence
2024 - 2027 (expected)
Athabasca University
Undergraduate Coursework in Computer Science
2020 - 2023
Queen's University
Master of Arts in Economics
Concentration in Econometrics
2017 - 2018
McMaster University
Bachelor of Arts in Economics
Minor in Mathematics and Statistics
2013 - 2017Publications
2025 Survey of CPI Production Systems
Published: 2025-04-30
Audience: UNECE's 2025 Meeting of the Group of Experts on Consumer Price Indices
Delivered a report and presentation summarizing the results of a Survey of National Statistics Offices for 70 countries on CPI system modernization on behalf of the United Nations Economic Commission for Europe's (UNECE) Committee of Experts on Big Data and Data Science for Official Statistics.
What Drives Bitcoin Fees? Using SegWit to Assess Bitcoin's Long-Run Sustainability
Published: 2021-01-21
Journal: Journal of Financial Market Infrastructures
Can Bitcoin remain tamper-proof in the long run? We use block-level data from the Bitcoin blockchain to estimate the impact of congestion and the US dollar price on fee rates.
Awards
- Divisional Award - Excellence in Project Delivery - Statistics Canada · Consumer Prices Division (2025)
- Branch Award - Most Innovative Project - Statistics Canada · Modern Statistical Methods and Data Science Branch (2022)