
About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
🎁 Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
🌟 Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Solutions Engineer • Mid-Level
Databricks • New York - Remote
Skills & Technologies
Overview
Databricks is seeking a Solutions Architect to help large enterprises become more data-driven. You'll work closely with Enterprise Account Executives to define technical strategies and drive the adoption of ML & AI solutions. This role requires a strong background in technical account management and value selling.
Job Description
Who you are
You have a proven track record in pre-sales roles, ideally with 5+ years of experience in technical account management. Your expertise lies in helping large enterprises leverage data to drive business outcomes, and you understand the nuances of value selling in a technical context. You are comfortable leading technical discussions and have a solid grasp of machine learning and artificial intelligence applications across various industries, particularly in High Tech and Manufacturing.
You possess strong communication skills, allowing you to articulate complex technical concepts to both technical and non-technical stakeholders. Your ability to build relationships and gain the trust of clients is paramount, as you will be the main technical voice for Databricks in your accounts. You thrive in collaborative environments and enjoy mentoring team members to foster their growth.
Desirable
Experience with cloud platforms and data analytics tools is a plus, as is familiarity with the Databricks platform. You are adaptable and open to learning new technologies, which will help you stay ahead in the rapidly evolving data landscape. Your background in enterprise sales or account management will further enhance your ability to drive success in this role.
What you'll do
In this role, you will partner with Enterprise Account Executives to define and implement technical strategies for key accounts. You will lead clients on a transformational journey, guiding them through the evaluation and adoption of Databricks solutions. Your responsibilities will include conducting technical presentations, building proofs of concept, and demonstrating the value of our products to clients.
You will work closely with hands-on resources to ensure that technical implementations align with client needs and expectations. Your role will involve identifying opportunities for deeper adoption of machine learning and AI within client organizations, helping them to maximize the value derived from Databricks.
Additionally, you will be responsible for building a movement of technical champions within your accounts, fostering a culture of data-driven decision-making. You will provide structured mentorship to other team members, sharing your knowledge and expertise to help them succeed in their roles.
What we offer
At Databricks, we believe in empowering our employees to make a significant impact. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team dedicated to transforming the way organizations leverage data. We offer a competitive salary and benefits package, along with opportunities for professional development and growth within the company. Join us in our mission to help enterprises become more data-driven and unlock the full potential of their data assets.
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