Databricks

Staff Software Engineer - User Activation

Databricks • $192K — $260K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of software engineering experience with a proven impact as a technical leader.
  • 5+ years of engineering management experience, including managing other managers.
  • Expertise in Front End or Full Stack development.
  • Experience building scalable SaaS platforms and onboarding processes.
  • Knowledge of distributed systems and cloud platforms like AWS, Azure, and GCP.
  • Strong collaboration skills with product, engineering, and business teams.
  • Passion for the data intelligence sector.

Responsibilities

  • Define and drive onboarding and workspace experience strategies.
  • Collaborate with product management, design, and engineering teams for scalable solutions.
  • Lead architectural decisions for performance and reliability.
  • Engage in full-stack software development for user-centric experiences.
  • Promote engineering excellence through best practices in design and testing.
  • Work cross-functionally to integrate with vertical product teams and infrastructure.

Benefits

  • Comprehensive benefits package meeting diverse employee needs.
  • Opportunities for professional growth and career advancement.
  • Mentorship from experienced engineering leaders.
  • Engagement in high-visibility initiatives directly impacting company growth.
  • Dynamic work environment focused on data-driven innovation.
Full Job Description
P-925

As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have:
  • Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.
  • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.
  • Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.
  • Hands-on full-stack software development to create dynamic, user-centric experiences.
  • Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
  • Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.


What we look for:
  • 15+ years of software engineering experience, with a strong track record of technical leadership and impact.
  • 5+ years of engineering management experience, including managing managers.
  • Expertise in Front End or Full Stack development.
  • Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.
  • Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
  • Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.
  • Passion for the data intelligence space.

Why Join us?
  • Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
  • Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
  • Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

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.

Local Pay Range

$192,000-$260,000 USD

BenefitsAt 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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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