Staff Engineer - Databricks

Smartsheet; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Smartsheet is seeking an experienced Data Architect to design scalable data platforms and lead data engineering initiatives. You will shape data models, governance, and pipelines across distributed systems, partnering withEngineering to enable AI/analytics use cases.

Ideal candidates have 10+ years in data engineering for enterprise SaaS, with experience in Databricks Lakehouse, AWS/GCP, Snowflake, Airflow, Python and SQL. Strong English communication and remote work are required.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering or a similar role.
• Experience with enterprise SaaS data platforms and high availability.
• Experience handling large-scale structured and unstructured data
• Experience with distributed compute, storage, and orchestration

Responsibilities

• Design and oversee scalable data architectures and platforms.
• Develop data models, ensure data quality and governance.
• Build and optimise data pipelines for ingestion and processing.
• Identify performance bottlenecks and improve data retrieval.
• Evaluate new data technologies and drive innovation.
• Diagnose and resolve complex data-related issues for reliability.
• Implement data security and governance compliance.
• Collaborate with Product engineering on data/AI use cases.

Skills

Data architecture

Data modelling

Data pipelines

Performance tuning

Databricks Lakehouse

AWS

GCP

Snowflake

Airflow

Python

SQL

Java/Scala

Kubernetes

CI/CD

Terraform

Observability

Cost optimization

English fluency

Education

Bachelor's or master's in Computer Science or Engineering

Tools

Databricks Lakehouse

Airbyte/Airflow

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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