Solutions Architect - Manufacturing West Coast - United States

Databricks Inc.; New York (NY); Remote; USD 139,000 - 248,000; Full time

Job summary

An established industry player seeks experienced pre-sales professionals to drive data transformation for large enterprises. In this pivotal role, you will collaborate closely with Enterprise Account Executives, guiding clients through the adoption of innovative data solutions. Your expertise in value selling and technical leadership will empower clients to leverage machine learning and artificial intelligence effectively. Join a dynamic team dedicated to making a significant impact in the High Tech and Manufacturing sectors, where your contributions will shape the future of data-driven decision-making. This is an exciting opportunity to be at the forefront of technology and innovation.

Qualifications

• Experience in pre-sales roles with a focus on data-driven solutions.
• Strong technical understanding of ML & AI applications.

Responsibilities

• Lead clients in adopting Databricks as part of their strategy.
• Implement technical strategies and build relationships with executives.
• Mentor team members and establish virtual teams for success.

Skills

Value Selling

Technical Account Management

Technical Leadership

Big Data

Data Science

Cloud Technologies

Data-Driven Business Transformation

Production Programming (Python, R, Scala, Java)

Education

Bachelor's Degree in a related field

Relevant Certifications (e.g., Databricks Certification)

Job description

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.

Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise 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 solid 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 High Tech and Manufacturing space.

Outcomes

• 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 provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.
• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• 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.
• 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 Certification.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$139,700 — $247,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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

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, please visit https://www.mybenefitsnow.com/databricks.

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.