Staff Engineer - Databricks

Smartsheet; Bengaluru; Remote; INR 3,000,000 - 6,000,000; Full time

Job summary

Smartsheet in Bengaluru is seeking a senior data engineer to design and oversee scalable data platforms and pipelines. You will drive data architecture, governance, and performance optimization for enterprise SaaS solutions.

Join a team that collaborates with product engineering to leverage data and AI use cases, build resilient systems, and ensure security and compliance across large-scale datasets.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 10+ years of data engineering experience in enterprise SaaS or similar environment.
• Experience with large-scale structured and unstructured data and data platform design.

Responsibilities

• Design and oversee scalable data platforms, pipelines, storage, and processing systems.
• Develop and implement data models, governance, quality, and security policies.
• Build and optimize pipelines for ingestion, processing, and transformation of diverse data sources.
• Identify performance bottlenecks and optimise data retrieval and processing.
• Collaborate with product engineering to enable AI/analytics use cases.

Skills

Data engineering

Python

SQL

Databricks

AWS

GCP

Kubernetes

CI/CD

Terraform

Data modelling

Education

Bachelor's or Master's in CS/Engineering

Tools

Airflow

Airbyte

Snowflake

Databricks

Terraform

Job description

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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