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Home›Jobs›Databricks›Senior Solutions Engineer
Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

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...

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Databricks

Senior Solutions Engineer

Databricks • Remote - Denmark

Posted 2w ago🏠 RemoteSeniorSolutions engineer📍 Denmark
Apply Now →

Skills & Technologies

Apache Spark

Overview

Databricks is hiring a Senior Solutions Engineer to leverage technical expertise in demonstrating their Data Intelligence Platform. You'll work collaboratively to create customized solutions for clients, focusing on data challenges and integration with cloud ecosystems. This role requires strong skills in Apache Spark.

Job Description

Who you are

You have a strong background in solutions engineering, with a focus on data analytics and cloud technologies. Your experience includes working closely with clients to understand their needs and provide tailored solutions that drive business value. You thrive in collaborative environments and enjoy engaging with customers to showcase innovative technologies. You possess excellent communication skills, enabling you to articulate complex technical concepts to diverse audiences. Your proactive approach and customer-centric mindset allow you to build lasting relationships with clients, ensuring their success with the platform. You are passionate about data and its potential to transform businesses, and you are eager to contribute to a culture of creativity and continuous improvement.

Desirable

Experience with big data technologies and frameworks, particularly Apache Spark, is highly desirable. Familiarity with cloud ecosystems and third-party applications will enhance your ability to integrate solutions effectively. A background in data science or analytics will be beneficial as you advise clients on architecture and design aspects.

What you'll do

In this role, you will be an essential part of Databricks' mission to make data science and analytics accessible to everyone. You will work closely with an Account Executive and a Senior Solutions Architect to form successful relationships with clients throughout your assigned territory. Your technical expertise will be crucial in demonstrating how the Data Intelligence Platform can help customers solve their complex data challenges. You will engage clients through hands-on evaluations and Spark programming, showcasing the platform's capabilities and integrating it with the wider cloud ecosystem. Additionally, you will contribute to building the Databricks technical community by participating in workshops, seminars, and meet-ups, sharing your knowledge and insights with others in the field. As a Big Data Analytics advisor, you will provide guidance on architecture and design, helping clients leverage the full potential of their data.

What we offer

Databricks offers a dynamic work environment that fosters innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and be part of a team that values creativity and experimentation. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives contribute to our success. Join us in our quest to change how people work with data and make a better world.

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