Job Requisition ID #

26WD98650

Position Overview

We are looking for a Senior Software Engineer to join our Data Platform team, focusing on Batch Processing. This role is critical in building scalable, reliable, and secure data pipelines that power enterprise-wide analytics, machine learning, and business decision-making. You will work on designing and operating large-scale data platforms using modern lakehouse architectures, ensuring high data quality, observability, and compliance with security and governance standards.

Responsibilities

• Contribute to the team’s vision and articulate strategies to have fundamental impact at our massive scale

  
  

• You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs

  
  

• Diagnose and solve complex problems in distributed systems, develop and document technical solutions and sequence work to make fast, iterative deliveries and improvements

  
  

• Build and maintain high-performance, fault-tolerant and scalable distributed systems that can handle our massive scale

  
  

• Ideate and drive innovative projects that will improve user experience

  
  

• Provide solid leadership within your very own problem space, through data-driven approach, robust software designs, and effective delegation

  
  

• Participate in, or spearhead design reviews with peers and stakeholders to adopt what’s best suited amongst available technologies

  
  

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)

  
  

• Automate cloud infrastructure, services, and observability

  
  

• Develop CI/CD pipelines and testing automation

  
  

• Establish and uphold best engineering practices through thorough code and design reviews and improved processes and tools

  
  

• Groom junior engineers through mentoring and delegation

  
  

• Drive a culture of trust, respect and inclusion within your team
   

  
  

Minimum Qualifications

• Bachelor’s/Master’s degree in Computer Science or related field

  
  

• 2–6 years of experience in data engineering / backend engineering

  
  

• Strong experience with:

  
  

• o Apache Spark (PySpark/Scala)

  
  

• o SQL and large-scale data processing

  
  

• o Cloud platforms (AWS preferred)

  
  

• Experience building batch data pipelines at scale

  
  

• Solid understanding of data modeling, partitioning, and performance tuning

  
  

• Experience with workflow orchestration tools (Airflow or equivalent)

  
  

• Strong programming skills (Python / Java / Scala)

  
  

• Preferred Qualifications

  
  

• Experience with Apache Iceberg / Delta Lake / Hudi.

  
  

• Exposure to data governance tools (e.g., data catalog, lineage systems)

  
  

• Experience with streaming systems (Kafka, Flink, etc.)

  
  

• Knowledge of data security best practices (PII masking, encryption, IAM)

  
  

• Familiarity with CI/CD and infrastructure-as-code

  
  

• Experience working with large-scale enterprise data platforms

  
  

#LI-AC3

Learn More

About Autodesk

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Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

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