Staff Engineer - Databricks
Smartsheet
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This role on the market
123 open databricks roles across 26 companies are on ApplySarthi right now, most of them in Bengaluru (6), Hyderabad (3), Chennai (3).
- Data Architect mit Expertise in Databricks (m/w/d) | Join our Talent Pool - SwitzerlandCallista Group AG
- Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)Capitalone
- Lead Software Engineer - Databricks/PySpark/AIJPMorgan
- Data Engineer-Data Platforms-DatabricksIBM
- Azure Databricks Platform EngineerFiserv
What databricks roles keep asking for: Databricks (40%), Agile (24%), SQL (23%), AWS (22%), Azure (21%), Python (20%), Spark (20%), CI/CD (16%) — counted across their open postings here.
AWS jobs · Airflow jobs · CI/CD jobs · Data modelling jobs
Smartsheet has 92 open roles listed here.
- AI ML Ops Software Engineer (Bangalore Hybrid)bengaluru
- Director, Finance Systems & ERP
- Group Product Manager – Corporate Systems
- Talent Development Partner
- Senior Software Engineer I (Observability Platform)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for databricks roles keep coming back to Databricks, Agile, SQL, AWS. Practise those questions before you sit with Smartsheet.
Questions you are likely to be asked
- Why do you want to join Smartsheet?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- 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?
- Walk me through a system you built. How was it designed, and what would you change now?
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 Engineer - Databricks at Smartsheet interview free →For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.
You Will:
- Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
- Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
- Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
- Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
- Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
- Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
- Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
- Perform other duties as assigned
You Have:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in data engineering or a similar role.
- Enterprise SaaS software solutions with high availability and scalability
- Solution handling large scale structured and unstructured data from varied data sources
- Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
- Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
- In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
- Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
- AWS, GCP, Snowflake and Data pipeline frameworks like Airbyte/Airflow
- Programming languages like Python, SQL, and potentially Java or Scala
- Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
- Solution Cost Optimisations and design to cost
- Driving engineering excellence initiative
- Legally eligible to work in India on an ongoing basis
- Fluency in English is required
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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Listed on greenhouse · posted 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Smartsheet, not by us.