Senior Data Solutions Architect

Dell; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

Dell Technologies seeks a Senior Solutions Principal to lead pre-sales technical support for field sales, defining the overall Dell solution for customers using the full range of products and services. This role emphasizes relationship building, requirements analysis, and impactful technical demos in Ontario, Canada.

You will design and communicate analytics and data solutions end-to-end, from data ingestion to dashboards, leveraging cloud platforms and modern data architectures.

Qualifications

• 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
• Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).

Responsibilities

• Build and lead relationships for highly sophisticated customer accounts.
• Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope.
• Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities.
• Verify operability of sophisticated product and service configurations within the customer’s environment.
• Perform advanced systems integration and provide technical expertise to design and implement the solution.

Skills

Cloud data platforms

Data warehousing

SQL & analytics

Unstructured data processing

Vector databases

Data governance

BI tools

Python & Spark

Data modeling

Job description

Dell Technologies seeks a Senior Solutions Principal to lead pre-sales technical support for field sales, defining the overall Dell solution for customers using the full range of products and services. This role emphasizes relationship building, requirements analysis, and impactful technical demos in Ontario, Canada.

You will design and communicate analytics and data solutions end-to-end, from data ingestion to dashboards, leveraging cloud platforms and modern data architectures.