Staff Engineer - Databricks
Smartsheet (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and oversee scalable, reliable data platforms including pipelines, storage, and processing systems.
- Develop and implement data models and governance policies ensuring data quality and security compliance.
- Optimize performance and troubleshoot complex data issues in large-scale environments handling petabytes of data with technologies like Databricks Lakehouse.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in data engineering or similar roles involving large-scale data platform systems.
- Experience with distributed compute, data orchestration, storage, streaming infrastructure, and data platform solutions like Databricks, AWS, GCP, Snowflake.
- Legally eligible to work in India; Fluency in English required.
Ideal Candidate Profile
- Extensive experience designing data architectures handling petabytes of structured and unstructured data in enterprise SaaS environments.
- Proficient with modern AI/data infrastructure, semantics layers, and building data solutions for AI agents.
- Strong background in system design, programming (Python, SQL, Java/Scala), and software engineering practices (Kubernetes, CI/CD, Terraform).