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Sr. Product Designer, Platform Administration

Sr. Product Designer, Platform Administration

DatabricksSan Francisco, CA, United States
6 days ago
Job type
  • Full-time
Job description

RDQ426R239

At Databricks, our mission as designers is to make data science simpler and more accessible so that more people can contribute to solving the world's toughest problems. Product Designers at Databricks balance the creativity of a craftsperson with the analytical curiosity of a data scientist. We believe in the traditional and timeless value of great graphic design - while at the same time, we have a restless desire to get to the truth and make the best decisions possible using data. We design simple and collaborative products that have the power to delight a highly technical audience.

In this role, you'll play a key part in shaping the future of Databricks design. We're looking for an experienced designer to design the next generation of Admin experience. We're searching for an experienced Product Designer with the ability to define strategic vision and collaborate with interdisciplinary teams to bring this vision to life.

Platform administration plays a critical role in the customer's success with Databricks. Your work will streamline how admins set up, secure, and manage their Lakehouse platform.You'll be working closely with the admin teams based in SF / Seattle, while also collaborating with various feature teams across the globe.

The impact you will have :

  • Design best-in-class admin experience, including but not limited to : Cost monitoring and budgets, Settings platform, Security and compliance
  • Help identify and establish common design patterns for a consistent admin experience
  • Drive product design for one of the most critical business areas at Databricks
  • Design and launch a new experience for data ingestion and transformation
  • Collaborate closely with product management, engineering, and leadership to shape the future of our platform's admin experience
  • Design intuitive user experiences that align with engineering best practices, simplifying complex workflows for our users.
  • Explore new ways in which Generative AI can enhance the administration process
  • Develop a deep understanding of Databricks business objectives, the cloud admin space, its users, and competition
  • Conduct user research to identify customer needs and pain points related to platform administration

What we look for :

  • 5+ years of product design work experience
  • A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines
  • You're comfortable talking to strategic customers in key decision making positions
  • Experience shipping great digital products. We strongly believe that a designer' involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
  • Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders
  • Can execute beautiful visual and interaction work that's rooted in a data-driven, and well-researched UX process
  • A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally
  • You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive engineering tooling
  • A portfolio showcasing the end-to-end design process
  • Experience designing products in the Cloud admin, or the Big Data space is a nice-to-have
  • Coding React, SQL, CSS, and / or Python is a nice-to-have
  • Pay Range Transparency

    Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.

    Zone 1 Pay Range

    $130,900-$183,175 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

    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.

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