Data Architect

Toronto - Canada

Monthly Salary: $ 190000 - 210000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a Data Architect to help our clients bring clarity and order to complex unstructured this role you will design implement and manage comprehensive data strategies and solutions that not only scale effectively but also address intricate business needs. You will apply deep expertise with Snowflake to build performant cost-effective and cloud-native architectures.

Key Responsibilities

Design and deliver full-cycle data solutions covering everything from planning and strategy through deployment.
Define enterprise data roadmaps governance practices and architectural blueprints for clients.
Lead large-scale data migration and integration efforts leveraging features such as Snowpipe Streams and Tasks.
Partner with analytics and data science teams to enable AI/ML and advanced analytics use cases with technologies including Snowpark and Python.
Build and fine-tune cloud-based data platforms across AWS Azure and GCP environments.
Serve as a strategic advisor running workshops and sharing expertise in best practices for modern data platforms.
Continuously optimize workloads for higher performance and lower cost.

Requirements

Skills and Experience

At least 5 years of experience in data engineering or data architecture with strong practical knowledge of Snowflake (schema design tuning virtual warehouse management cost optimization secure data sharing and large-scale deployments).
Track record of diagnosing performance bottlenecks implementing clustering strategies and applying workload scaling techniques.
Solid understanding of major cloud ecosystems (AWS Azure or Google Cloud).
Proficiency with SQL and Python.
Proven ability in data modeling integration pipelines and governance mechanisms.
Experience working with business intelligence platforms such as Tableau Power BI or MicroStrategy.
Strong consultative and communication skills including the ability to simplify and present technical concepts to mixed audiences.

Preferred Qualifications

Industry certifications in Snowflake (e.g. SnowPro) and/or cloud architecture certifications (AWS Azure GCP).
Enthusiasm for mentoring team members and guiding clients toward impactful data-driven choices.
Awareness of cutting-edge developments in data ecosystems such as event-driven design data mesh and real-time analytics solutions.

Data Architect, Snowflake, Cloud Data Architect, Data Engineering, Data Warehouse, Data Modeling, Data Integration, Data Migration, SQL, Python, AWS, Azure, Google Cloud, Data Governance, Advanced Analytics, AI/ML, Tableau, Power BI, Cost Optimization, Big Data

We are seeking a Data Architect to help our clients bring clarity and order to complex unstructured this role you will design implement and manage comprehensive data strategies and solutions that not only scale effectively but also address intricate business needs. You will apply deep expertise wit...

Key Responsibilities

Design and deliver full-cycle data solutions covering everything from planning and strategy through deployment.
Define enterprise data roadmaps governance practices and architectural blueprints for clients.
Lead large-scale data migration and integration efforts leveraging features such as Snowpipe Streams and Tasks.
Partner with analytics and data science teams to enable AI/ML and advanced analytics use cases with technologies including Snowpark and Python.
Build and fine-tune cloud-based data platforms across AWS Azure and GCP environments.
Serve as a strategic advisor running workshops and sharing expertise in best practices for modern data platforms.
Continuously optimize workloads for higher performance and lower cost.

Requirements

Skills and Experience

At least 5 years of experience in data engineering or data architecture with strong practical knowledge of Snowflake (schema design tuning virtual warehouse management cost optimization secure data sharing and large-scale deployments).
Track record of diagnosing performance bottlenecks implementing clustering strategies and applying workload scaling techniques.
Solid understanding of major cloud ecosystems (AWS Azure or Google Cloud).
Proficiency with SQL and Python.
Proven ability in data modeling integration pipelines and governance mechanisms.
Experience working with business intelligence platforms such as Tableau Power BI or MicroStrategy.
Strong consultative and communication skills including the ability to simplify and present technical concepts to mixed audiences.

Preferred Qualifications

Industry certifications in Snowflake (e.g. SnowPro) and/or cloud architecture certifications (AWS Azure GCP).
Enthusiasm for mentoring team members and guiding clients toward impactful data-driven choices.
Awareness of cutting-edge developments in data ecosystems such as event-driven design data mesh and real-time analytics solutions.