Principal Data Engineer

Autodesk
Bengaluru
Workplace: OnsiteFull timeFunction: Communications, PR & CommunityExperience: 8+ yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Self-motivation","Delivery focus","Teamwork"]

Build and maintain governed data platforms, pipelines, and data products for Autodesk Finance, enabling operational reporting, dashboards, metrics, and business decision-making. Partner with Finance BI and analytics stakeholders to translate requirements into scalable Snowflake solutions, improve data quality and reliability, and apply engineering best practices (modeling, testing, monitoring, governance). Support both traditional analytics and emerging LLM-powered exploration and agentic workflows.

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FursaFursa
Autodesk
Autodesk
3 days ago

Principal Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and maintain governed data platforms, pipelines, and data products for Autodesk Finance, enabling operational reporting, dashboards, metrics, and business decision-making. Partner with Finance BI and analytics stakeholders to translate requirements into scalable Snowflake solutions, improve data quality and reliability, and apply engineering best practices (modeling, testing, monitoring, governance). Support both traditional analytics and emerging LLM-powered exploration and agentic workflows.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines, data models, and data products within Snowflake for Finance reporting and analytics.
  • •Serve as the primary data engineering partner for Finance BI developers and stakeholders to translate business requirements into scalable solutions.
  • •Drive data engineering best practices including modeling standards, testing frameworks, monitoring, documentation, governance, and operational excellence.
  • •Design and maintain dimensional models, curated data layers, and reusable datasets for reporting, dashboarding, and self-service analytics.
  • •Improve data quality, reliability, performance, and maintainability, and align Finance solutions with Autodesk architectural standards.

Key Requirements

  • •Expert-level proficiency with Snowflake and modern cloud data warehousing concepts.
  • •8+ years of experience in data engineering, data warehousing, or analytics engineering roles.
  • •8+ years developing and maintaining ETL/ELT pipelines and enterprise-scale data solutions.
  • •Strong proficiency with SQL and experience with modern data engineering tools and frameworks for orchestration, transformation, and automation.
  • •Strong understanding of dimensional modeling and data warehousing concepts; experience implementing data quality controls and operational best practices.
Experience:8+ years
Education:Bachelor's
Skills:Analytical thinkingProblem-solvingSelf-motivationDelivery focusTeamwork
Tech Stack:SnowflakeSQLETLELTDimensional modelingData warehousingPower BITableauQlik SenseLarge Language ModelsLLMGenerative AIAgentic workflowsModel Context Protocol (MCP)Claude CodeGitHub CopilotCursor

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
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: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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