Solutions Architect - Financial Services & Insurance

Location: Toronto, ON

REQ ID - FEQ427R15

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 most 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:

• 5+ years of customer-facing presales experience working in the FSI domain.

• 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

• 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 anticpates 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.