Senior Solutions Architect, Data & AI for Finance

Neon

Toronto

On-site

CAD 176,000 - 242,000

Full time

6 days ago
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Job summary

Databricks is seeking a pre‑sales Solutions Architect to partner with the Enterprise Account Executive and drive technical strategy for our largest accounts in the Canada region. You will lead the adoption of Databricks solutions and guide customers on data‑driven transformations, collaborating with hands‑on resources to build PoCs and demonstrate value.

The role requires deep expertise in data, AI, and cloud platforms, and the ability to influence executives toward Databricks’ transformational

Qualifications

  • 7+ years of experience supporting Data and AI solutions in Financial Services and Insurance.
  • Proven ability to establish and lead virtual teams within an account.
  • Experience with very large global accounts (>$1m ARR).
  • Ability to present a convincing point‑of‑view to executives.
  • Production programming in Python, R, Scala or Java.
  • Nice to have: Databricks, Snowflake, AWS or Azure certifications.

Responsibilities

  • Be the main technical voice for Databricks with multiple clients.
  • Lead customers on a transformational journey to adopt Databricks.
  • Implement the technical strategy in the account.
  • Build a movement of technical champions within the account.
  • Align technical strategies around Databricks solutions.
  • Work with sales and peers to drive business outcomes for clients.

Skills

Data & AI domain
Leadership
Executive relationships
Production programming (Python/R/Scala
Cloud platforms (Azure/AWS)
Value selling
Databricks/Snowflake knowledge

Tools

Azure
AWS
Databricks
Snowflake

Job description

Databricks is seeking a pre‑sales Solutions Architect to partner with the Enterprise Account Executive and drive technical strategy for our largest accounts in the Canada region. You will lead the adoption of Databricks solutions and guide customers on data‑driven transformations, collaborating with hands‑on resources to build PoCs and demonstrate value.

The role requires deep expertise in data, AI, and cloud platforms, and the ability to influence executives toward Databricks’ transformational

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