Solutions Architect - Financial Services & Insurance

Databricks; Toronto (OH); On-site; USD 123,000 - 170,000; Full time

Job summary

Databricks is seeking seasoned pre-sales professionals to partner with Enterprise AEs and define the technical strategy for top accounts in Toronto. You will guide adoption of the Databricks platform, lead a virtual team, and establish executive relationships to drive ML and AI use cases across large enterprises.

You will collaborate with hands-on resources building PoCs, understand the relevance of ML/AI in varied use cases, and help customers transform with data-driven strategies.

Qualifications

• 5+ years of customer-facing presales experience in FSI or equivalent domains.
• Ability to establish virtual teams and guide them to success.
• Experience with large global accounts (> $1m ARR) and executive-level relationships.
• Demonstrated ability to articulate value and influence key decision-makers.
• Technical in big data, data science and cloud (Azure & AWS) areas.
• Hands-on production programming in Python, R, or Scala.

Responsibilities

• Serve as the main technical voice for Databricks with multiple clients.
• Lead customers through transformational journeys and adoption of Databricks solutions.
• Implement technical strategy within accounts in collaboration with sales and technical peers.
• Build and nurture technical champions within accounts to drive adoption.
• Align technical strategies with Databricks offerings across regions and use cases.
• Partner with sales to drive business outcomes for clients.

Skills

Presales experience

Executive relationships

Big data

Data science

Cloud platforms

Python

R

Scala

Databricks

Snowflake

Certifications (AWS/Azure)

Job description

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 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.

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.

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.