Data Architect – Technical
Toronto , Ontario, Canada
Paralucent
We are looking for a Data Architect – Technical to lead the hands-on implementation of data infrastructure and integrations as part of a major AWS-based data lake initiative. This role will work closely with the Senior Solutions Consultant to build, deploy, and optimize data systems that meet the bank’s business objectives.
Key Responsibilities:
Design and implement data pipelines, ETL/ELT workflows, and AWS-based infrastructure
Translate high-level solution designs into technical architecture and executable code
Build and integrate API connections, data ingestion paths, and transformation layers
Develop and optimize data lake components using AWS services (e.g., S3, Glue, Lambda, Redshift, Athena)
Ensure data infrastructure is scalable, secure, and efficient
Collaborate with data teams, developers, and business analysts to deliver high-quality solutions
Support ongoing platform optimization and system enhancements
Requirements
7+ years of experience as a data engineer, architect, or developer in enterprise environments
Strong hands-on skills in Python, SQL, and data pipeline development
Expertise in AWS services related to data architecture (e.g., Redshift, Glue, S3, Lambda)
Proven ability to deliver complex integrations and data workflows
Experience in financial services is preferred
Ability to collaborate closely with strategic roles and adapt technical plans to business needs
Location: Hybrid – Toronto
Duration: 12 months, with potential for extension
Industry: Banking / Financial Services
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Athena AWS Banking Data pipelines ELT ETL Lambda Pipelines Python Redshift SQL
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