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Software Architect: AEC Platform Data

Job in Vancouver, BC, Canada
Listing for: Autodesk
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer
Job Description & How to Apply Below
Autodesk Vancouver, British Columbia, Canada

La traduction en anglais se trouve plus bas! / The French translation can be found below!

Description Du Poste
Le département Architecture, Engineering, and Construction (AEC) Platform Data d'Autodesk recherche un architecte logiciel expérimenté.

Job

Requisition
25WD93193

Position Overview
Autodesk's Architecture, Engineering, and Construction (AEC) Platform Data organization is seeking an experienced Software Architect. In this role, you will be responsible for designing and building the systems and services that power cross-cutting data capabilities across our organization and their integration with Autodesk's existing and future AEC products. This opportunity is for you if you have a passion for the design of complex system architectures and are excited by the idea of transforming how AEC professionals use data to capture knowledge, inform decisions, and deliver projects.

As a Software Architect in the AEC Platform Data, you will be at the forefront of designing the next generation of capabilities for the Autodesk Forma Industry Cloud. You'll collaborate with software architects in the AEC Platform Data team as well as with software architects from the world's foremost applications and services for designing and constructing buildings and infrastructure, including Revit, Civil 3D, AutoCAD, the Autodesk Construction Cloud, and Autodesk Forma.

You'll define the software architecture that reimagines the continuous flow of AEC Data (e.g., 3D models, 2D drawings, issue tracking, cost, sensor streams, etc.) and information throughout the entire lifecycle of a built asset, from design and construction through operation and maintenance. This is an individual contributor role reporting to the Distinguished Architect, AEC Platform Data team.

Responsibilities

Define and evolve cross-team architecture for data platforms and services in AEC Platform Data organization

Establish standards, reference architectures, and reusable components; drive adoption across teams in the AEC Platform Data organization

Lead architectural governance and architectural decision records (ADRs); run design reviews across teams

Design and guide implementation of distributed systems and data platforms (APIs, schemas, event streams; batch and streaming)

Ensure reliability, security, and performance; define SLOs and drive observability (metrics, tracing, logging)

Partner across the AEC organization’s product and platform teams to align roadmaps and integrations

Communicate architectures with clear views and diagrams (e.g., C4) and executive-ready narratives

Minimum Qualifications

Bachelor's degree in computer science, or equivalent experience

10+ years as a Software Architect in data-intensive cloud environments

Experience with cloud services, API design, database architecture, big data tools and frameworks

Strong understanding of data modeling, management and processing principles

Excellent knowledge of software design and architecture

Demonstrated ability to influence without authority and drive cross-team alignment

Mastery of taking complex ideas and conveying them in a concise and impactful manner

Excellent verbal, written communication, and presentation abilities to effectively communicate software architecture strategy to a variety of stakeholders

Ability to collaborate with a global team

Preferred Qualifications

Experience in the Architecture, Engineering, and Construction industry

Cloud services experience with AWS strongly preferred (EC2, ECS, Lambda, API Gateway, S3, Dynamo

DB, RDS)

Database architecture and technologies:
Snowflake, relational, No

SQL

Event-driven and streaming architectures:
Kafka or Kinesis; exactly-once processing; schema evolution (Avro/Protobuf)

API and service design: REST, gRPC, Graph

QL; versioning and backward compatibility at scale

Distributed systems and data platforms: microservices, service mesh, event-driven architecture, streaming processing

Observability/SRE:
Open Telemetry, distributed tracing, metrics/SLOs for data services

Knowledge graphs/semantic modeling (nice-to-have): RDF/OWL, property graphs, or feature stores for ML

Experience designing and integrating AI systems…
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