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Chief Data Architect

San Francisco, CA, USA | Autodesk

  • Industry:
    Computer Software / Computer Games
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
  • Experience:
    10-12 years
Job Description:
79 people have viewed this job

Own the technology vision for the Autodesk Data Platform that ensures collection, storage, processing, and availability of data for BI exploration and reporting, ML-based analytics products, and workflow automation through CRM systems

Design and guide implementation of highly available and scalable data services utilizing AWS infrastructure and other fit-for-purpose technologies

Provide thought-leadership on best practice data architecture principles to the Digital Platforms & Experience division

Partner with product management to articulate strategic and operational requirements and translate them to solutions

Build relationships across the company to keep your finger on the pulse of technology objectives and initiatives relevant to the Autodesk Data Platform

Minimum 

Qualifications


10+ years of experience as a principal or lead data architect in a technology company

BS or MS in Computer Science or related field

Expert level experience with AWS Kinesis, Lambda, Glue, Athena, and Redshift

Experience building self-service capabilities for data exploration (data-as-a-service, predictive, graph, and discovery analytics)

Working knowledge of ML applications on data streaming and self-healing

Experience with data exploration and visualization tools such as Looker and Tableau

Deep understanding of techniques to achieve high performance at cloud scale

Knowledge of programming languages, including Java and Python

Outstanding written/spoken communication skills and ability to communicate complex technical topics to non-technical audiences

Signs That You’re a Strong Candidate

You are highly motivated to lead the design and evolution of a modern big data platform

You’ve done this before, having architected and led the delivery of a modern, data platform that meets the requirements of massive data volume, wide variety of data types, and high velocity for near-real-time use cases, while always prioritizing quality and completeness of data

You have deep experience utilizing and optimizing capabilities in managed service environments like AWS

You have expert knowledge in big data technologies and are in tune with rapidly changing industry trends 

You can inspire confidence in both senior engineers and executive leadership, and you can drive your vision in a matrixed organization


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