Data Architect

Toronto, ON
On-site
Posted Oct 1, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level

Job summary

Lead the design, governance, and modernization of enterprise data ecosystems across cloud and on-premises environments, including architecture strategy, data models, integrations, and migrations. Establish standards and governance, optimize AWS and Snowflake environments, and guide data engineering teams in DataOps, solution design, and technical reviews.

Job details

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

What you’ll do

Requirements

Requires 8–12 years of experience in data architecture, data engineering, or BI solution design, with deep expertise in Snowflake and AWS data services. Candidates should have experience with large-scale data models and analytics platforms, SQL and Python or Java, DataOps tools, complex migrations or modernization, and strong leadership, communication, governance, and security capabilities.