
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...
Skills & Technologies
Overview
Databricks is hiring a Senior Solutions Engineer to leverage technical expertise in demonstrating their Data Intelligence Platform. You'll work closely with clients to solve complex data challenges and integrate with the cloud ecosystem. This role requires strong skills in Apache Spark and client engagement.
Job Description
Who you are
You have a strong technical background with experience in data analytics and solutions engineering — your expertise allows you to effectively communicate complex concepts to clients and help them navigate their data challenges. You thrive in a collaborative environment, working closely with account executives and architects to deliver tailored solutions that meet customer needs.
Your experience includes hands-on evaluation and programming with Apache Spark, enabling you to showcase the capabilities of Databricks' platform effectively. You are customer-centric and enjoy building relationships that foster trust and collaboration, ensuring clients feel supported throughout their journey with Databricks.
You are proactive and innovative, always looking for ways to improve processes and enhance the customer experience. Your ability to engage with clients at workshops and seminars contributes to building a strong technical community around Databricks.
Desirable
Experience with cloud ecosystems and third-party applications is a plus, as it allows you to integrate solutions seamlessly. Familiarity with big data analytics and architecture design will further enhance your ability to advise clients effectively.
What you'll do
In this role, you will form successful relationships with clients throughout your assigned territory, providing both technical and business value. You will collaborate with account executives and senior solutions architects to create customized solutions that help clients achieve their goals. Your hands-on experience with Apache Spark will be crucial as you demonstrate the platform's capabilities to clients, helping them understand how it can solve their complex data challenges.
You will contribute to building the Databricks technical community by engaging in workshops, seminars, and meet-ups, sharing your knowledge and expertise with others. As a big data analytics advisor, you will provide insights on architecture and design, guiding clients in making informed decisions that push their businesses forward.
What we offer
At Databricks, you will be part of a culture that values proactiveness and a customer-centric mindset. We provide a user-friendly platform that makes data science and analytics accessible to everyone, fostering creativity and continuous improvement. You will have the opportunity to work with a collaborative team that values innovation and creativity, making a significant impact on how people work with data.
We encourage you to apply even if your experience doesn't match every requirement — your unique perspective and skills could be just what we need to drive our mission forward.
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