Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)

Smartsheet
Bengaluru
Workplace: HybridFull-timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Ownership","Stakeholder management"]

Senior BI Engineer to build and govern enterprise analytics capabilities, centralizing metrics, and enabling self-serve data solutions. Work across dbt, Snowflake, and Databricks to create a governed data layer, automate executive reporting, and drive AI-powered insights. Collaborate with Product, Engineering, Finance, GTM, and Customer Success to standardize metrics and empower data-driven decisions.

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FursaFursa
Smartsheet
Smartsheet
3 months ago

Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)

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Last checked: 4 hours agoStatus: Live

Job Summary

Senior BI Engineer to build and govern enterprise analytics capabilities, centralizing metrics, and enabling self-serve data solutions. Work across dbt, Snowflake, and Databricks to create a governed data layer, automate executive reporting, and drive AI-powered insights. Collaborate with Product, Engineering, Finance, GTM, and Customer Success to standardize metrics and empower data-driven decisions.
Location: Bengaluru
Workplace: Hybrid
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, build, and maintain governed metric models—standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
  • •Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
  • •Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations
  • •Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
  • •Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
  • •5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
  • •Experience with KPI design and insight generation—ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
  • •Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models
  • •Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
Experience:5+ yearsSaaSEnterprise softwareData analytics
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingOwnershipStakeholder management
Languages:English
Tech Stack:DbtMetricFlowSnowflakeDatabricksSQLTableauAmplitudeClaudeMCPLLM toolingData governanceSemantic layer

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