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Principal Software Engineer - Analytics Data

Autodesk

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Autodesk

Principal Software Engineer - Analytics Data

Onsite Bengaluru, India Full Time Junior
Posted 4 days ago
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Watch this video to learn more about Autodesk

powertofly approved What Autodesk Has to Offer:

Autodesk makes the software and tools that help people imagine, design, and make a better world. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with their software. Autodesk offers their employees benefits like:

  • Insurance: Health/Dental/Vision/Life
  • Work - Life Balance
  • Paid volunteer time off
  • 6 week paid sabbatical every 4 years
  • Employee Resource Groups
  • A "week of rest" at year's end
  • Job Details

    Job Requisition ID #

    25WD91419

    Position Overview

    We are seeking a highly experienced Principal Engineer to lead the design, development, and evolution of our Batch Processing platform, which powers Autodesk’s Analytics Data Platform (ADP). This role requires deep technical expertise in distributed data systems, large-scale pipeline orchestration, and hands-on leadership in shaping next-generation data platform capabilities. You will partner closely with Engineering Managers, Architects, Product teams, and Partner Engineering to modernize our data lakehouse architecture, deliver highly reliable data pipelines, and establish technical excellence across ingestion, processing, and governance.

    Responsibilities

    Technical Leadership

    • Define and drive the technical strategy for Batch Processing within ADP

    • Design and scale PySpark based distributed processing frameworks integrated with Airflow for orchestration

    • Champion Apache Iceberg-based data lakehouse adoption (versioning, branching, WAP, indexing)

    • Introduce performance optimization patterns for data pipelines (e.g., partition pruning, caching, resource tuning)

    • Establish patterns for metadata-driven, intent-based data processing aligned with AI-assisted pipelines

    Architecture & Delivery

    • Partner with architects to design multi-tenant, secure, and compliant (SOC2/GDPR/CCPA) batch processing services

    • Define reference architectures and reusable frameworks for cross-domain processing workloads

    • Lead technical reviews, solution designs, and architectural forums across ADP

    • Guide the evolution of Airflow APIs and SDKs to enable scalable pipeline self-service

    Mentorship & Collaboration

    • Mentor senior engineers, staff engineers, and tech leads within the Batch Processing and adjacent teams

    • Partner with the Batch Ingestion and Data Security teams to deliver unified ingestion + processing flows

    Innovation & Impact

    • Drive modernization initiatives to migrate away from legacy tools

    • Pioneer AI-augmented data engineering practices (e.g., pipeline optimization agents, anomaly detection)

    • Ensure scalability, cost-efficiency, and reliability for thousands of production pipelines across Autodesk

    • Influence company-wide data engineering strategy by contributing thought leadership and whitepapers

    Minimum Qualifications

    • 8+ years of experience in software/data engineering, with at least 3 years in big data platform leadership roles

    • Expert in distributed data processing (Spark, PySpark, Ray, Flink)

    • Deep experience with workflow orchestration (Airflow, Dagster, Prefect)

    • Strong hands-on expertise in Lakehouse technologies (Iceberg, Delta, Hudi) and cloud platforms (AWS/Azure/GCP)

    • Proven track record in architecting secure, multi-tenant, and compliant data platforms

    • Skilled in SQL/NoSQL databases, Snowflake, Glue, and modern metadata/catalog tools

    • Strong problem-solving, communication, and cross-geo collaboration skills

    • Experience mentoring engineers, building strong technical culture, and influencing at scale

    Preferred Qualifications

    • Exposure to AI/ML-driven data engineering (optimizers, anomaly detection, auto-scaling)

    • Experience with data governance, lineage, and observability tools (Atlan, Databand, Collibra, etc.)

    • Familiarity with streaming + batch hybrid architectures (Kappa/Lambda)

    #LI-KS2

    Learn More

    About Autodesk

    Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

    We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

    When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

    Salary transparency

    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.

    Diversity & Belonging
    We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

    Are you an existing contractor or consultant with Autodesk?

    Please search for open jobs and apply internally (not on this external site).

    Required Skills
    • PySpark
    • Airflow
    • Apache Iceberg
    • AWS/Azure/GCP
    • SQL/NoSQL databases
    Company Details
    Autodesk
     San Francisco, CA, United States
    Work at Autodesk

    We believe flexibility in how and where work gets done is good for our people and teams. Embracing a hybrid-first model allows us to better meet... Read more

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