Solutions Architect - FSI
Required skills
- pre-sales
- data-driven
- ML
- AI
- value selling
- technical account management
- technical leadership
- big data
- data science
- cloud
Nice to have
- Databricks
- Snowflake
Role summary
Databricks is seeking a Solutions Architect with a strong background in Financial Services and Insurance to join their pre-sales team in Toronto. This role involves defining and directing technical strategies for large enterprise accounts, focusing on driving the adoption of ML & AI solutions. The ideal candidate will leverage their expertise in value selling, technical account management, and technical leadership to maximize client success. Responsibilities include acting as the main technical voice, leading customers through data-driven transformations, building technical champions within accounts, and aligning technical strategies with Databricks solutions to achieve business outcomes. A minimum of 7 years of experience supporting Data and AI solutions in the FSI domain is required, along with proficiency in big data, data science, cloud platforms (Azure & AWS), and production programming in Python, R, Scala, or Java.
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:
What we look for:
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.
Canada Pay Range$175,800—$241,800 CADAbout 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.BenefitsAt 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.
Sample Databricks interview questions
- 1
Design a document processing pipeline
system designmedium - 2
Design a distributed file system
system designmedium - 3
Design a database schema for a fitness app
system designmedium - 4
Design a push notification service for mobile and web.
system designmedium - 5
Design an Ad Budgeting System
system designhard
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