Solutions Architect - FSI

Databricks

Toronto

On-site

CAD 176,000 - 242,000

Full time

29 hours ago
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Job summary

Databricks in Toronto, Canada, seeks a senior pre-sales Solutions Architect to serve as the main technical voice for large enterprise accounts, partnering with the Enterprise Account Executive to drive ML & AI adoption.

You will build proofs of concept, align technical strategies, and develop champions across complex organizations while collaborating with product and sales teams to shape outcomes.

Qualifications

  • 7+ years of experience supporting Data and AI solutions within financial services and insurance.
  • Proficiency in leading virtual teams to success within large accounts.
  • Experience with very large, global accounts (> $1m ARR).
  • Ability to form relationships with executives and influencers.
  • Strong presentation of a convincing point-of-view to decision-makers.
  • Technical depth in big data, data science and cloud (Azure & AWS).
  • Data-driven business transformation experience and driving change with data.
  • Production programming in Python, R, Scala or Java.
  • Nice to have: Databricks, Snowflake, AWS or Azure certifications.

Responsibilities

  • You are the main technical voice for Databricks across multiple clients.
  • Lead customers on a transformational journey to adopt Databricks strategies.
  • Implement the technical strategy within accounts with cross-functional teams.
  • Build a movement of technical champions inside accounts.
  • Align technical strategies around Databricks solutions with the sales team.

Skills

Data & AI solutions
Executive relationships
Python
R
Scala
Java
Big data
Cloud (Azure AWS)
Team leadership

Tools

Databricks
Snowflake
AWS Certification
Azure Certification

Job description

Location: Toronto, ON

REQ ID - FEQ128R19

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect (SA) defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands‑on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The Impact You Will Have
  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You work with your sales team and technical peers to drive business outcomes for our clients
What We Look For
  • 7+ years of experience supporting Data and AI solutions within the Financial Services and Insurance domains.
  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud (Azure & AWS).
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks, Snowflake, AWS or Azure Certification
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Canada Pay Range

$175,800-241,800 CAD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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