Sr. Solutions Engineer - FSI

Location: Toronto, ON REQ ID - FEQ327R207 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 Sr. Solutions Engineer 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: * 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 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 $139,700—$192,050 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 [https://www.linkedin.com/company/databricks], X [https://x.com/databricks], YouTube [https://www.youtube.com/@Databricks], and Instagram [https://www.instagram.com/databricksinc/?hl=en]. 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 [https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing]. 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.

Define and direct the technical strategy for large enterprise accounts to drive the adoption of ML and AI solutions. Act as the primary technical voice for Databricks, building technical championships and aligning solutions to drive business outcomes.

Requires proficiency in leading virtual teams and managing global accounts with over $1m ARR. Must have technical expertise in big data, cloud platforms (Azure/AWS), and production programming in Python, R, Scala, or Java.

• Annual Performance Bonus • Equity

• Microsoft AzureSouhaitée
• Apprentissage automatiqueSouhaitée
• Amazon Web ServicesSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Pre-sales
• Technical Strategy
• Machine Learning
• Artificial Intelligence
• Value Selling
• Technical Account Management
• Big Data
• Data Science
• Cloud Computing
• Azure
• AWS
• Python
• R
• Scala
• Java
• Business Transformation

• Data & Analytics
• Sales
• Technology
• Software
• Engineering

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine