
Empowering data teams with unified analytics
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...
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks • Tokyo, Japan
Databricks is hiring a Senior Solutions Engineer to guide technical evaluations in a pre-sales environment. You'll leverage your expertise in big data, analytics, and cloud technologies to help customers achieve data-driven outcomes. This role requires strong technical skills and experience in customer-facing positions.
You have a strong background in pre-sales or consulting roles, ideally with 5+ years of experience in technical environments. Your expertise in big data and analytics allows you to effectively communicate complex technical concepts to clients, ensuring they understand the value of the Databricks Data Intelligence Platform. You are comfortable leading workshops and seminars, engaging with the technical community, and advocating for customer needs within your organization.
Your experience includes designing and implementing solutions that integrate with third-party applications, showcasing your ability to create reference architectures and demo applications that resonate with clients. You thrive in collaborative environments, working closely with sales teams and product managers to drive customer success and satisfaction. You are a natural problem solver, always looking for innovative ways to address customer challenges in data engineering and data science.
Familiarity with cloud platforms and services, particularly in public cloud environments, is a plus. Experience with tools like Google Analytics and BigQuery will enhance your ability to provide insights and drive data-driven decisions for clients. You are also well-versed in programming languages such as Python and SQL, which are essential for developing and demonstrating technical solutions.
In this role, you will guide prospects through the technical evaluation phase of the sales process, acting as a trusted advisor to both the sales team and customers. You will lead discussions on architecture and design, helping clients understand how to leverage Databricks for their specific needs. Your hands-on approach will involve authoring reference architectures and creating demo applications that illustrate the capabilities of the platform.
You will engage with customers to understand their unique challenges and work collaboratively to develop tailored solutions that drive tangible outcomes. By integrating Databricks with existing enterprise ecosystems, you will help clients maximize the value of their data initiatives. Your role will also involve leading workshops and seminars to educate clients and the technical community about best practices in big data and analytics.
As a Senior Solutions Engineer, you will partner closely with Account Executives to build strong relationships with clients, ensuring they receive the technical and business value they expect. Your insights will inform product development and enhancements, as you advocate for customer needs within the organization. You will also have opportunities to grow as a leader in your field, contributing to the overall success of the sales team and the company.
At Databricks, you will be part of a dynamic team that is transforming the way organizations leverage data. We offer a collaborative work environment where your contributions will have a direct impact on our customers' success. You will have access to ongoing training and professional development opportunities, allowing you to stay at the forefront of industry trends and technologies.
We believe in fostering a culture of innovation and inclusivity, where diverse perspectives are valued and encouraged. Our commitment to employee well-being includes competitive compensation packages and benefits that support work-life balance. Join us in our mission to empower data teams and drive meaningful change in the world of analytics and AI.
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