Data Architect

Job Requisition ID #

Position Overview

Autodesk is looking for a Data Architect that can design the models and system flows that define how data persists and moves between several enterprise systems and be a trusted advisor to solution architects and engineering teams.

Keeping a keen eye on the bigger picture, you will define and maintain high-level conceptual models, logical models, and ensure proper implementation across operational and analytical domains in collaboration with Product & Engineering Managers. You will influence the handling of data across end-to-end flows that traverse various processes and systems to ensure that it arrives fit for purpose and to serve its intended business use cases.

Staying on top of the latest innovations around data principles like data mesh and tools that help orchestrate data pipelines must be a passion of yours. As part of a larger enterprise ecosystem, our engineering teams will look to you for guidance on how to build modern cloud-based, event driven data systems and common data services that scale to meet the needs of our business.

You will be joining a team of architects who is tasked with taking Autodesk through a digital transformation that focuses on a taking existing and new business models to a new modern tech stack. The teams you will engage with are geographically dispersed, and value transparent, collaborative communication and cooperation. At times you will need to flex your schedule to accommodate global time zones.

Responsibilities

•     Build and maintain data models, conceptual & logical, in partnership with business and systems architects

•     Collaborate with systems architects and engineering to design data integrations ensuring data accuracy & completeness

•     Work closely with stakeholders and other architects to adequately understand requirements for collecting, storing and sharing data across the organization

•     Influence architecture decisions and direction according to business drivers and application of modern technologies and methodologies

•     Work with product managers to build requirements and guide engineering teams to implement solution based on DataOps principles

•     Engage with operational and analytical engineering teams to ensure proper translation of logical models into physical models

•     Review integrations to ensure proper implementation of data contracts based on logical data models

•     Guide data product managers to build proper analytical models for BI, M/L and personalization use cases

•     Maintaining a vision and strategy for applying best practices from the industry to improve the quality of data and the way it is consumed

•     Validate end-to-end data flows as …