Data Architect

BrainRidge Consulting; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

BrainRidge Consulting is seeking an experienced Data Architect to lead the design and governance of modern data ecosystems for clients in the financial services and fintech sectors. You will define the overall data architecture strategy across cloud and on-prem environments, with a focus on scalability, security, and performance.

This role partners with business and technology leaders, drives DataOps practices, and mentors data engineers.

Qualifications

• 8-12 years of experience in data architecture or related roles.
• Deep Snowflake expertise and AWS data ecosystem knowledge.
• Strong SQL skills; programming with Python or Java for prototyping.

Responsibilities

• Define and own enterprise data architecture strategy across cloud and on-prem.
• Design enterprise data models, schemas, and integration frameworks with Snowflake and AWS.
• Collaborate with business and tech leaders to align data architecture with analytics goals.
• Evaluate technologies for data ingestion, storage, and analytics.
• Establish standards and governance across the data lifecycle.
• Drive optimization of Snowflake and AWS environments for cost and performance.
• Mentor data engineering teams and oversee solution design reviews.
• Lead data migrations, integrations, and modernization initiatives with quality and compliance.
• Champion data governance, metadata management, and access control policies.

Skills

Snowflake

AWS

Data Modeling

Data Governance

DataOps

Tools

dbt

Airflow

Python

Job description

BrainRidge Consulting is a premium FinTech Technology Consulting firm with the energy of a startup and experience of an enterprise. With a mission to empower financial institutions and organizations to thrive in the digital age, we provide cutting-edge technology solutions and strategic guidance to drive innovation and growth. As we continue to grow, we are seeking a motivated and experienced Data Architect. BrainRidge Consulting is seeking a visionary and experienced Data Architect to lead the design and governance of our clients' modern data ecosystems.

Responsibilities

• Define and own the overall data architecture strategy across cloud and on-prem environments, ensuring scalability, performance, and security
• Design and implement enterprise-grade data models, schemas, and integration frameworks leveraging AWS and Snowflake
• Partner with cross-functional business and technology leaders to align data architecture decisions with core business goals and analytics initiatives
• Evaluate and select appropriate technologies and tools for data ingestion, storage, management, and analytics
• Establish and enforce architectural standards, best practices, and governance frameworks across the data lifecycle
• Drive optimization of Snowflake and AWS data environments for performance, cost efficiency, and reliability
• Collaborate with data engineering teams to implement DataOps practices, including CI/CD, automation, and observability
• Provide architectural oversight and mentorship to data engineering teams, supporting solution design and technical reviews
• Lead enterprise data migration, integration, and modernization initiatives, ensuring quality, compliance, and continuity
• Champion data governance, metadata management, and access control policies to safeguard enterprise data assets

Qualifications

• 8-12 years of experience in data architecture, data engineering, or BI solution design within large-scale or enterprise environments
• Deep expertise in Snowflake (architecture, performance tuning, data sharing, and governance) and the AWS data ecosystem (S3, Glue, Lambda, Redshift, IAM)
• Strong background in designing data models, data lakes, and analytical warehouses for large-scale analytics workloads
• Proficiency in SQL and familiarity with Python or Java for architectural prototyping and automation
• Experience implementing DataOps and modern data stack components (dbt, Airflow, or similar orchestration frameworks)
• Proven leadership in designing and implementing complex data strategies, migrations, or cloud modernization initiatives
• Excellent stakeholder management and communication skills; ability to translate business needs into technical architecture
• Strong analytical mindset and knowledge of data governance, security, and compliance frameworks