Senior Data Engineer

Autodesk
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Self-motivation","Teamwork","Stakeholder collaboration"]

Design, develop, and maintain Snowflake-based data platforms, pipelines, and data products for Autodesk’s Finance partners. Partner with Finance BI developers and analytics stakeholders to translate reporting and business requirements into scalable, governed solutions, improving data quality, reliability, and performance. Help advance Finance-owned data engineering practices and dimensional modeling for dashboards, self-service analytics, and emerging LLM-powered exploration and agentic workflows.

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FursaFursa
Autodesk
Autodesk
3 days ago

Senior Data Engineer

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Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and maintain Snowflake-based data platforms, pipelines, and data products for Autodesk’s Finance partners. Partner with Finance BI developers and analytics stakeholders to translate reporting and business requirements into scalable, governed solutions, improving data quality, reliability, and performance. Help advance Finance-owned data engineering practices and dimensional modeling for dashboards, self-service analytics, and emerging LLM-powered exploration and agentic workflows.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable Snowflake data pipelines, data models, and data products for Finance reporting and analytics.
  • •Serve as the primary data engineering partner for Finance BI developers and stakeholders, translating requirements into scalable solutions.
  • •Drive adoption of data engineering best practices including modeling standards, testing, monitoring, documentation, and governance.
  • •Design and maintain dimensional models, curated data layers, and reusable datasets for dashboards and self-service analytics.
  • •Improve data quality, reliability, performance, and maintainability; partner with engineering teams to align with broader architectural standards.

Key Requirements

  • •Expert-level proficiency with Snowflake and modern cloud data warehousing concepts.
  • •5+ years of experience in data engineering, data warehousing, or analytics engineering roles.
  • •5+ years building and maintaining ETL/ELT pipelines and enterprise-scale data solutions.
  • •Strong SQL skills and experience with orchestration, transformation, and automation tooling.
  • •Strong understanding of dimensional modeling and data quality/testing/monitoring best practices.
Experience:5+ yearsSaaSFinance
Education:Bachelor's
Skills:Analytical thinkingProblem-solvingSelf-motivationTeamworkStakeholder collaboration
Tech Stack:SnowflakeSQLETLELTPower BITableauQlik SenseLLMsLarge Language ModelsMCPClaude CodeGitHub CopilotCursorAgentic workflows

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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