At a Glance
- Tasks: Design and implement scalable data solutions using Snowflake and cloud platforms.
- Company: Leading tech firm focused on innovative data architecture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team with a passion for mentoring and innovation.
- Why this job: Shape the future of data architecture and make a real impact for clients.
- Qualifications: 5+ years in data architecture with strong Snowflake and cloud experience.
The predicted salary is between 123750 - 151250 $ per year.
As a Data Architect, you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Data Architect will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, complex business challenges, and unlocking the value of data for our clients. This role will require demonstrated expertise in Snowflake to optimize data architecture, performance, and cost efficiency in a cloud-based environment.
What You’ll Do
- Design and implement end-to-end data solutions, from strategy to deployment.
- Shape enterprise data strategy, architecture, and governance frameworks for our clients.
- Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks.
- Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python.
- Build and optimize cloud data platforms on AWS, Azure, or GCP.
- Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices.
- Drive performance optimization and cost efficiency across deployments.
What You Bring
- 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment.
- Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management.
- Deep knowledge of cloud environments (AWS, Azure, or GCP).
- Strong skills in SQL, Python.
- Experience with data modeling, integration, and governance frameworks.
- Familiarity with BI tools like Microstrategy, Tableau, or Power BI.
- Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.
Nice to Have
- SnowPro certification or other Snowflake credentials.
- Certifications in AWS, Azure, or GCP architecture.
- Passion for mentoring and helping clients make smart, data-driven decisions.
- Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics.
Senior Data Architect in Toronto employer: HRB
At HRB, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Senior Cloud Data Engineer role offers not only competitive benefits and opportunities for professional growth but also the chance to work in a dynamic environment where your contributions directly impact financial analytics and strategic decision-making. Located in a vibrant area, we provide a supportive atmosphere that encourages creativity and teamwork, making it a rewarding place to advance your career.
