ApplySarthiStaff Software Engineer - Database Engine Internals
Databricks
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
12 open internals roles across 3 companies are on ApplySarthi right now.
- Senior Software Developer - Query Engine, Database Internals - ElasticsearchElastic
- Staff Endpoint Software Engineer, Prompt (Python & OS Internals)SentinelOne
What internals roles keep asking for: Data warehousing (58%), Databricks (58%), ETL (58%), Excel (58%), Spark (58%), System design (58%), Elasticsearch (33%), Java (33%) — counted across their open postings here.
Software Engineer jobs in Serbia · Remote Software Engineer jobs · Data warehousing jobs · Databricks jobs · ETL jobs · Excel jobs
Databricks has 888 open roles listed here.
- Enterprise Account Executive - China
- Enterprise Account Executive - China
- Executive Assistant
- Named Core Account Executive - Thailand
- Sr. Manager, AI Forward Deployed Engineering
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for internals roles keep coming back to Data warehousing, Databricks, ETL, Excel. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Staff Software Engineer - Database Engine Internals at Databricks interview free →
P-1416
Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.
As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:
- Query compilation and optimization
- Distributed query execution and scheduling
- Vectorized execution engine
- Data security
- Resource management
- Transaction coordination
- Efficient storage structures (encodings, indexes)
- Automatic physical data optimization
The responsibilities you will have:
- Drive requirements clarity and design decisions for ambiguous problems
- Produce technical design documents and project plans
- Develop new features
- Mentor more junior engineers
- Test and rollout to production, monitoring.
What we look for:
- A passion for database systems, storage systems, distributed systems, language design, or performance optimization
- Are comfortable working towards a multi-year vision with incremental deliverables
- Be customer-oriented and focused on having an impact
- 7+ years of experience working in a related system
- Optional: PhD in databases or 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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Account Executive Databricks · bengaluru
- AI Engineer - FDE (Forward Deployed Engineer)Databricks
- Credit and Collections ManagerDatabricks · bengaluru
- Delivery Solutions ArchitectDatabricks
- Delivery Solutions Architect - Digital Native BusinessDatabricks
- Delivery Solutions Architect - Oil & GasDatabricks
- Delivery Solutions Architect - Startups & Emerging EnterpriseDatabricks
- Deployment StrategistDatabricks
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2025-05-28. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.