Senior Software Engineer – Backend

Software Engineer – Lakehouse Platform

At Databricks, we help organizations solve some of the world’s most complex challenges through data and AI. From advancing healthcare innovations to transforming transportation, our mission is to empower data teams with the world’s leading data and AI infrastructure platform.

Founded by engineers and built on a culture of innovation, Databricks is on a multi-year journey to create the industry’s most powerful, scalable, secure, and user-friendly Lakehouse Platform. As part of this mission, we are continuously reimagining every layer of the platform to deliver exceptional experiences for customers worldwide.

As a Software Engineer, you will join as an early member of our growing Berlin engineering organization and play a key role in shaping the future of the Databricks platform.

Your Impact

You will work across backend engineering teams that develop critical platform services powering large-scale data and AI workloads.

Your responsibilities may include:

• Designing and building large-scale distributed systems and cloud-native services.
• Developing high-performance, secure, and reliable backend services.
• Building scalable service architectures and platform infrastructure.
• Creating workflow orchestration and monitoring solutions.
• Improving developer productivity and platform tooling.
• Developing services and client libraries that manage and access massive datasets stored on cloud platforms.
• Working with cloud storage providers such as:
  • AWS S3
  • Google Cloud Storage (GCS)
  • Azure Blob Storage
• Designing and delivering product features that enable customers to efficiently store, access, and analyze their data.
• Contributing throughout the full software development lifecycle, from design through deployment and continuous improvement.

What We’re Looking For

• Bachelor’s degree or higher in:
  • Computer Science
  • Software Engineering
  • Or a related technical field
• 5+ years of professional software engineering experience.
• Strong development experience in one or more of the following:
  • Java
  • Scala
  • C++
  • Or similar programming languages
• Experience building and operating large-scale distributed systems.
• Experience working with SaaS platforms and/or Service-Oriented Architectures (SOA).
• Solid understanding of SQL and data processing concepts.
• Strong problem-solving and system design skills.
• Ability to thrive in a collaborative and fast-paced engineering environment.

Why Join Databricks?

• Help build one of the world’s most advanced data and AI platforms.
• Work on complex engineering challenges at massive scale.
• Contribute to products that power thousands of organizations globally.
• Influence the future direction of the Lakehouse architecture.
• Collaborate with world-class engineers, researchers, and technology leaders.
• Join an early-stage engineering team in Berlin with significant opportunities for ownership and impact.

About Databricks

Databricks is the Data and AI company trusted by more than 10,000 organizations worldwide, including global enterprises and over half of the Fortune 500.

The Databricks Data Intelligence Platform unifies data, analytics, and artificial intelligence, helping organizations make better decisions and accelerate innovation.

The company was founded by the original creators of:

• Lakehouse Architecture
• Apache Spark™
• Delta Lake
• MLflow

Headquartered in San Francisco, Databricks operates globally with offices and teams around the world.

Benefits & Perks

• Competitive compensation and rewards programs.
• Comprehensive employee benefits package.
• Health and wellness support.
• Professional development opportunities.
• Career growth within a rapidly expanding global technology company.
• Access to innovative projects and cutting-edge technologies.

Specific benefits may vary by location and region.

Diversity, Equity & Inclusion

Databricks is committed to building a diverse and inclusive workplace where everyone has the opportunity to succeed and contribute.

• Equal opportunity employer.
• Inclusive hiring and employment practices.
• Commitment to fostering a culture of belonging and respect.
• Support for diverse backgrounds, perspectives, and experiences.

Employment decisions are made without regard to race, ethnicity, gender identity or expression, sexual orientation, disability, age, religion, veteran status, family status, or any other protected characteristic.

Additional Compliance Information

Certain positions may require access to export-controlled technologies or source code. Where applicable, employment eligibility may be subject to export control regulations and licensing requirements.

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