Senior Data Solutions Architect – Pre-Sales

Dell Technologies; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Dell Technologies is seeking a Senior Solutions Principal, Data Management to provide pre-sales technical support to field teams and shape Dell's data solutions for customers in Toronto. The role emphasizes deep technical leadership across data platforms, data governance, and analytics.

You will build relationships with sophisticated accounts, analyze requirements, design specifications, and lead demonstrations and POC efforts to accelerate technical wins in complex data environments.

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.

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 platform

Data warehousing

Unstructured data processing

SQL

Vector databases

Data governance

Analytics & BI

End-to-end analytics design

Python & ML workflows

BI tools (Tableau, Power BI, Looker, Q

Tools

Airflow

dbt

Spark

Kafka

Cloud ETL tools

Elasticsearch

Milvus

Job description

Dell Technologies is seeking a Senior Solutions Principal, Data Management to provide pre-sales technical support to field teams and shape Dell's data solutions for customers in Toronto. The role emphasizes deep technical leadership across data platforms, data governance, and analytics.

You will build relationships with sophisticated accounts, analyze requirements, design specifications, and lead demonstrations and POC efforts to accelerate technical wins in complex data environments.