Interview preparation

Databricks interview process & preparation

Databricks currently has 777+ live openings on OnJob.io, concentrated in Software Engineer, Sales / Business Development and Accountant roles. There are no leaked or company-specific questions here — instead, prepare with the general, role-based interview rounds and most-asked questions for those role types below, then practise them free with OnJob's AI mock interview.

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Honest note: OnJob.io does not publish leaked or company-confidential interview questions. The guides below are general, role-based preparation — the standard rounds and commonly-asked questions for the role types Databricks is currently hiring for. Use them to prepare; your real Databricks interview may differ.

What to expect when interviewing for Software Engineer, Sales / Business Development and Accountant roles at companies like Databricks

Databricks is currently advertising these role types on OnJob.io. Each guide is the general interview structure and most-asked questions for that role — prepare with it, then rehearse free with the AI mock interview.

General Software Engineer interview prep

32 live roles at Databricks

Coding, data structures, algorithms and system design — the core software engineering loop used by product companies and startups across India.

Typical Software Engineer interview rounds

1 Online assessment. Timed coding problems on arrays, strings and hashing on HackerRank or HackerEarth.
2 DSA / problem solving. 1–2 live coding rounds on data structures, algorithms and complexity analysis.
3 System design. Designing a scalable service (mid/senior); low-level design for early-career.
4 Hiring manager / culture fit. Past projects, ownership, behavioural questions and team fit.

Commonly-asked Software Engineer questions

Reverse a linked list, both iteratively and recursively.
Find the two numbers in an array that add up to a target sum.
Detect whether a linked list has a cycle.
What is the difference between a process and a thread?
Explain time and space complexity (Big O) with examples.
How does a hash map work internally, and what happens on collisions?
Find the longest substring without repeating characters.
What is the difference between an array and a linked list?

Full Software Engineer prep AI mock interview

General Sales / Business Development interview prep

8 live roles at Databricks

Pitching, objection handling, pipeline and targets — the sales / BD interview for SaaS, startups and inside-sales teams.

Typical Sales / Business Development interview rounds

1 Screening / fit. Motivation, communication and comfort with targets.
2 Role-play / mock pitch. Sell a product, handle objections, close.
3 Behavioural & track record. Past numbers, deals closed and how you hit quota.
4 Manager round. CRM, sales process and how you handle rejection.

Commonly-asked Sales / Business Development questions

Sell me this pen (or our product) right now.
Walk me through your sales process from lead to close.
How do you handle objections like 'it's too expensive' or 'we're happy with our current vendor'?
How do you qualify a lead — what makes it worth your time?
Tell me about the biggest deal you closed and how you did it.
How do you handle rejection and stay motivated?
What is your approach to cold calling or cold outreach?
How do you build rapport with a prospect quickly?

Full Sales / Business Development prep AI mock interview

General Accountant interview prep

4 live roles at Databricks

Accounting principles, Tally, GST and financial statements — the accounting interview for finance teams, CA firms and SMEs in India.

Typical Accountant interview rounds

1 Accounting fundamentals. Double-entry, journal entries and the accounting cycle.
2 Statements & analysis. Balance sheet, P&L and cash-flow understanding.
3 Tax & compliance. GST, TDS and statutory basics (India).
4 Tools & scenario. Tally / Excel and a practical bookkeeping problem.

Commonly-asked Accountant questions

What are the three golden rules of accounting?
Explain the difference between accounts payable and accounts receivable.
What is the difference between a balance sheet and a profit & loss statement?
What is double-entry bookkeeping?
Explain the difference between cash accounting and accrual accounting.
What is depreciation and what are the common methods?
What is GST, and how do CGST, SGST and IGST differ?
What is TDS and when is it deducted?

Full Accountant prep AI mock interview

General Data Analyst interview prep

2 live roles at Databricks

SQL, Excel, statistics and storytelling with data — the analyst interview for product, BI and analytics teams across India.

Typical Data Analyst interview rounds

1 SQL round. Joins, aggregations, window functions and query writing.
2 Excel / spreadsheet round. Lookups, pivot tables and formulas.
3 Case / analytics round. Business case: define metrics, analyse and recommend.
4 Tool & viz round. Power BI / Tableau dashboards and stakeholder communication.

Commonly-asked Data Analyst questions

What is the difference between INNER JOIN, LEFT JOIN and FULL OUTER JOIN?
Write a SQL query to find the second-highest salary in a table.
What is the difference between WHERE and HAVING?
Explain window functions like ROW_NUMBER(), RANK() and DENSE_RANK().
What is the difference between mean, median and mode, and when is each misleading?
How do you handle missing or null values in a dataset?
Explain the difference between a primary key and a foreign key.
What is normalisation, and why does it matter for analysis?

Full Data Analyst prep AI mock interview

General AI Engineer interview prep

1 live role at Databricks

LLMs, prompt engineering, RAG and AI application development — the fast-growing generative-AI engineering interview at Indian product startups, GCCs and AI-first companies. Distinct from a classic ML engineer: the focus is building on top of foundation models, not training them.

Typical AI Engineer interview rounds

1 LLM & GenAI fundamentals. How transformers and LLMs work, tokens, embeddings, context windows and prompting.
2 RAG & application design. Retrieval-augmented generation, vector databases, chunking and grounding.
3 Coding round. Python coding plus building an API around an LLM with a framework like LangChain.
4 System design & evaluation. Designing a production AI feature, handling cost, latency, safety and evaluation.

Commonly-asked AI Engineer questions

What is the difference between fine-tuning, prompt engineering and retrieval-augmented generation?
Explain how RAG works end to end, from a user query to a grounded answer.
What are embeddings and how are they used in semantic search?
What is a vector database and how does similarity search work?
What is a context window, and how do you handle inputs that exceed it?
What causes hallucinations in LLMs and how do you reduce them?
What is the difference between temperature and top-p sampling?
How would you chunk documents for a RAG pipeline, and why does chunk size matter?

Full AI Engineer prep AI mock interview

General Data Engineer interview prep

1 live role at Databricks

Data pipelines, SQL, big-data tools and warehousing — the data-engineering interview for analytics, fintech and product teams building data platforms.

Typical Data Engineer interview rounds

1 SQL & data modelling. Complex queries, window functions, star vs snowflake schema design.
2 Big data & pipelines. Spark, Hadoop, ETL/ELT design and batch vs streaming.
3 Coding round. Python/Scala data manipulation and DSA basics.
4 System design. Design an end-to-end data pipeline or warehouse.

Commonly-asked Data Engineer questions

What is the difference between ETL and ELT, and when do you use each?
Explain the difference between a data warehouse, a data lake and a data mart.
What is the difference between a star schema and a snowflake schema?
How does Apache Spark work, and what is an RDD vs a DataFrame?
Explain the difference between batch processing and stream processing.
What is partitioning and bucketing in Hive, and why do they matter?
How do you handle slowly changing dimensions (SCD types 1, 2 and 3)?
What is data normalisation, and when would you denormalise for analytics?

Full Data Engineer prep AI mock interview

Rehearse your Databricks interview, free

Run a realistic AI mock interview for your target role and get instant feedback on your answers — or take a timed mock test to check your fundamentals before the real thing.

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Databricks interview — FAQs

How do I prepare for a Databricks interview?

Prepare by role: identify the role you're applying for, then practise the standard interview rounds and most-asked questions for that role type. Databricks is currently hiring for Software Engineer, Sales / Business Development and Accountant roles, so focus there. Use OnJob's free AI mock interview to rehearse with instant feedback, and review the role-specific question lists below. These are general role-based questions, not leaked Databricks questions.

What questions are asked in a Databricks interview?

We don't publish leaked or company-specific Databricks questions. What we do provide is the general, frequently-asked interview questions for the role types Databricks hires for — such as Software Engineer, Sales / Business Development and Accountant roles. For example, Software Engineer interviews commonly cover: Reverse a linked list, both iteratively and recursively. Find the two numbers in an array that add up to a target sum. Detect whether a linked list has a cycle. Prepare with these general questions and OnJob's free AI mock interview.

How many rounds does a Databricks interview have?

It depends on the role. A typical Software Engineer interview runs across 4 rounds — Online assessment, DSA / problem solving, System design, Hiring manager / culture fit. Round counts vary by company and seniority; treat this as the general structure to prepare for, not a guarantee of Databricks's exact process.

Is Databricks hiring right now?

Yes — Databricks has 777+ live openings on OnJob.io, refreshed daily, mostly for Software Engineer, Sales / Business Development and Accountant roles. Browse the live Databricks jobs and see your AI match score on each before you apply.

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