Sr. Software Engineer (L5) - Distributed Data Systems

Databricks
Amsterdam, Netherlands
On-siteCareer-pivot friendly

Who this role is best for

Candidates with deep front-end expertise and experience in distributed systems will find this role in a fast-growing SaaS infrastructure company. The job emphasizes full-stack capabilities and long-term technical vision within a collaborative, globally distributed team.

Best fit for

  • Candidates with 7+ years of front-end experience and a background in large-scale distributed systems
    — “7+ years of experience with HTML, CSS, and JavaScript”
  • Individuals who have worked on SaaS products with a focus on user experience and scalability
    — “we design and build modern SaaS products that bring delight to all of the stakeholders”
  • Engineers with a strong interest in working on systems that power asynchronous customer workloads
    — “This team powers all asynchronous customer workloads for Databricks”

Things to consider

  • The role may require working with export-controlled technology based on company discretion
    — “it is within Employer's discretion whether to apply for a U.S. government license”

How to stand out

  • Highlight experience with modern JavaScript frameworks and cloud-native deployment practices
    — “Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)”
  • Emphasize contributions to large-scale distributed systems and infrastructure reliability
    — “Experience in architecting, developing, deploying, and operating large scale distributed systems”
  • Showcase a history of delivering incremental features aligned with long-term technical visions
    — “Comfortable working towards a multi-year vision with incremental deliverables”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable system architecture
  • enhanced user experience
  • system reliability
Typical background
software engineeringcloud computingdistributed systems

Skills & requirements

Required

Full Stack DevelopmentCloud TechnologiesDistributed SystemsUser ExperienceServer-side Web Technologies

Preferred

Data AnalyticsAI Infrastructure

Stack & domain

HTMLCSSJavaScriptReactAngularVue.jsEmberNode.jsJavaPythonScalaC#C++GoJVMSQLAWSAzureGCPDockerKubernetesLarge Scale Distributed SystemsUser ExperienceDesignArchitectureMulti-year VisionIncremental DeliverablesSoftware EngineeringCloud TechnologiesDistributed Systems

About the role

Original posting from Databricks

P-67

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

What we look for:

BS/MS/PhD in Computer Science, or a related field

7+ years of experience with HTML, CSS, and JavaScript

Passion for user experience and design and a deep understanding of front-end architecture

Comfortable working towards a multi-year vision with incremental deliverables

Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)

Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)

Good knowledge of SQL

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

Experience in architecting, developing, deploying, and operating large scale distributed systems

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

Source: Databricks careers

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