Staff Engineer - Databricks

Smartsheet
Bengaluru
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: mastersSkills: ["Problem-solving","Engineering excellence"]

Design and oversee scalable, reliable data platforms—covering data pipelines, storage, processing, modeling, governance, and performance optimization. Build and troubleshoot distributed systems handling large structured and unstructured datasets, and influence data/AI/analytics use cases with product engineering. Evaluate emerging data technologies while ensuring security, compliance, and cost-efficient architecture using tools and platforms such as Databricks Lakehouse and cloud infrastructure.

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FursaFursa
Smartsheet
Smartsheet
16 hours ago

Staff Engineer - Databricks

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Last checked: 1 hour agoStatus: Live

Job Summary

Design and oversee scalable, reliable data platforms—covering data pipelines, storage, processing, modeling, governance, and performance optimization. Build and troubleshoot distributed systems handling large structured and unstructured datasets, and influence data/AI/analytics use cases with product engineering. Evaluate emerging data technologies while ensuring security, compliance, and cost-efficient architecture using tools and platforms such as Databricks Lakehouse and cloud infrastructure.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and oversee the architecture of scalable, reliable data platforms, including pipelines, storage solutions, and processing systems.
  • •Develop and implement data models, ensure data quality, and establish data governance policies.
  • •Build and optimize data pipelines for ingesting, processing, and transforming large datasets from multiple sources.
  • •Identify and resolve performance bottlenecks and troubleshoot complex data-related issues to ensure stability and reliability.
  • •Implement data security and compliance controls, and stay current on emerging data technologies to drive infrastructure innovation.

Key Requirements

  • •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 experience supporting high availability and scalability, handling large structured and unstructured data sources.
  • •Experience building data platform systems using distributed compute, data orchestration, distributed storage, and streaming infrastructure with scalability, reliability, efficiency, and security.
  • •Hands-on system design experience with large-petabyte data using Databricks Lakehouse.
Experience:10+ years
Education:Master's
Skills:Problem-solvingEngineering excellence
Languages:English
Tech Stack:DatabricksDatabricks LakehouseData pipelinesData modelingData governanceData securityAWSGCPSnowflakeAirbyteAirflowPythonSQLJavaScalaKubernetesCI/CDTerraformObservabilityMonitoring

Company Brief

Smartsheet
Provides a cloud-based work management platform that enables teams to plan, track, automate, and report on work. Smartsheet combines spreadsheets, collaboration, and workflow automation to help organizations manage projects and processes at scale.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bellevue, United States
Founded: 2005
WebsiteLinkedIn