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Senior Software Engineer -Data Platform (Batch Processing & Data Security)

AutodeskBengaluru, Karnataka, IndiaPosted 18 May 2026

Autodesk is seeking a Senior Software Engineer for their Data Platform team in Bengaluru, focusing on batch processing and data governance. The role involves designing and operating scalable data pipelines using lakehouse architectures to support enterprise-wide analytics and machine learning. Candidates will work with a stack including Apache Spark, Python/Scala, and AWS, while collaborating on system architecture and engineering best practices. The position requires strong distributed systems expertise and a product-focused mindset to drive project innovation.

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Experience

5-8 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Autodesk is seeking a Senior Software Engineer for their Data Platform team in Bengaluru, focusing on batch processing and data governance. The role involves designing and operating scalable data pipelines using lakehouse architectures to support enterprise-wide analytics and machine learning. Candidates will work with a stack including Apache Spark, Python/Scala, and AWS, while collaborating on system architecture and engineering best practices. The position requires strong distributed systems expertise and a product-focused mindset to drive project innovation.

TAL's take

Quality 75/1005/5 clarityTier 2 company

Strong Tier-2 global software company with clear, high-impact responsibilities in a critical data platform team.

Crisp JD outlining specific responsibilities in batch processing, data governance, and distributed systems within a specific platform team.

Salaries at Autodesk

26.9 LPA average

Based on 28 Grapevine salary entries for Autodesk.

View all salaries

Engineering

0 - 2 years | L2

13 LPA average

Range: 13 - 14 LPA

Engineering

2 - 4 years | L2

8 LPA average

Range: 8 - 8 LPA

Engineering

4 - 6 years | L2

33 LPA average

Range: 33 - 33 LPA

Engineering

6 - 8 years | L1

31 LPA average

Range: 28 - 34 LPA

Must haves

  • 5-8+ years of experience in data or backend engineering
  • Strong proficiency in Apache Spark (PySpark/Scala)
  • Experience building large-scale batch data pipelines
  • Solid understanding of data modeling, partitioning, and performance tuning
  • Experience with workflow orchestration tools like Airflow
  • Strong programming skills in Python, Java, or Scala
  • Experience with cloud platforms, preferably AWS

Tools and skills

apache sparkpysparkscalasqlawspythonjavaairflow

Nice to have: apache iceberg, delta lake, hudi, kafka, flink, ci/cd, infrastructure-as-code.

About the company

Established global software product company with strong engineering footprint, but not Tier-1 by the provided definitions.

Posts mentioning Autodesk