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Software Development

Senior Staff Software Engineer - Delta

Databricks · Amsterdam, Netherlands

Software DevelopmentAmsterdam, Netherlands
RemoteJobs editorial overview

Strategic Overview

Senior Staff Software Engineer - Delta at Databricks is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Solve real business needs at large scale by applying your software engineering. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.

The role is listed for Amsterdam, Netherlands with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationAmsterdam, Netherlands
Experience15+ years
PostedNov 21, 2025
Last seenOct 25, 2026
Role context

About This Role

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully…

What the role delivers

Key Responsibilities & Objectives

  • Solve real business needs at large scale by applying your software engineering.
  • Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
  • Plan and lead complicated technical projects that work with several teams within the company.
  • Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Compensation & benefits

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

  • Comfortable working towards a multi-year vision with incremental deliverables.
Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

  • Solve real business needs at large scale by applying your software engineering.
  • Low level systems debugging, performance measurement, and optimization on large production clusters.
  • Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
  • Introduce tools to allow greater automation and operability of services.
  • Use your deep experience to help prevent and investigate production issues.
  • Plan and lead complicated technical projects that work with several teams within the company.
  • Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

  • 15+ years industry experience building and supporting large-scale distributed systems.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated by delivering customer value and impact.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Experience driving company initiatives towards customer satisfaction.
  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Solve real business needs at large scale by applying your software engineering. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.