At a Glance
- Tasks: Lead the design of modern data ecosystems and optimize data environments for performance.
- Company: Join a dynamic FinTech consulting firm with a startup vibe and enterprise experience.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and mentorship.
- Why this job: Make a real impact by empowering financial institutions with cutting-edge data solutions.
- Qualifications: 8-12 years in data architecture; expertise in Snowflake and AWS required.
The predicted salary is between 121500 - 148500 $ per year.
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.
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.
Data Architect in Toronto employer: BrainRidge Consulting
At BrainRidge Consulting, we pride ourselves on being an exceptional employer that combines the agility of a startup with the expertise of an established enterprise. Our collaborative work culture fosters innovation and creativity, providing AI Architects with ample opportunities for professional growth and development. Located in a vibrant tech hub, we offer competitive benefits and a dynamic environment where your contributions directly impact the future of FinTech technology solutions.
