Databricks
Overview
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 rely on 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 region. Location: Illinois, Wisconsin, Michigan, Minnesota Responsibilities
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 with a deep 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. Qualifications
Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working with very large (> $1m ARR), global accounts. Ability to form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them toward success. Technical in big data, data science and cloud (Azure & AWS). 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(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in, visit our page here. Zone 2 Pay Range — $161,300–$225,800 USD Zone 3 Pay Range — $161,300–$225,800 USD Zone 4 Pay Range — $161,300–$225,800 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits
Databricks strives to provide comprehensive benefits and perks. For specific details on benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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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 rely on 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 region. Location: Illinois, Wisconsin, Michigan, Minnesota Responsibilities
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 with a deep 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. Qualifications
Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working with very large (> $1m ARR), global accounts. Ability to form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them toward success. Technical in big data, data science and cloud (Azure & AWS). 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(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in, visit our page here. Zone 2 Pay Range — $161,300–$225,800 USD Zone 3 Pay Range — $161,300–$225,800 USD Zone 4 Pay Range — $161,300–$225,800 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits
Databricks strives to provide comprehensive benefits and perks. For specific details on benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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