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Senior Data Architect

Status: open for applications
We need you to implement the AutoScheduler solution in all the warehouse’s critical activities, so things like dock scheduling, loading, unloading, case picking, and the creation of transfer orders are all optimized.

The team at AutoScheduler.AI


About the role

AutoScheduler.AI launched a warehouse orchestration platform in August 2020 to assist IT teams in performing advanced warehouse planning with predictive decision-making and prescriptive analytics.

We help warehouses improve their efficiency by applying algorithms to their processes to determine when, what, and how to receive, move, and dispatch stock. We have a host of high-profile clients such as Procter & Gamble and others.

Though based in Austin, TX, we have teams distributed across the US, Argentina, Colombia, etc

Currently, we are seeking a Senior Data Solution Architect with experience of Warehouse Management Systems (WMS) to build a small team responsible for managing the flow of our critical resource, data, between customer systems and the AutoScheduler cloud. Data provided to AutoScheduler is commonly sent from a WMS and results returned to a WMS for execution, AutoScheduler remains WMS agnostic and as most customers heavily-customize their WMS implementation each data pipeline starts and ends at a slightly different place. Working with customers and third-party integrators, the ETL/WMS manager will map WMS data and processes to the AutoScheduler standard API and, where necessary, deploy middleware to enable customization.

The responsibilities include:

● Create and lead a small team to support data pipelines between customers and AutoScheduler.

● Be a subject matter expert on: the AutoScheduler data model and external API endpoints. The internal data structure for at least one major WMS system.

● Assist customers and 3 rd party integrators to map data between customer WMS and AutoScheduler data models.

● Manage the evolution of external API data structures to continuously improve performance and support new features.

● Develop and manage middleware to support necessary customization by customer/site that cannot be otherwise managed.

● Ongoing process improvement to simplify, speed up and increase reliability for the data transfer processes.


Valuable background and abilities

● Experience leading a small team.

● Strong customer service orientation and passion to work through obstacles to produce results.

● Adept at working in a collaborative, project-based, and remote-first, team environment.

Required Experience:

● 5+years developing, integrating and supporting warehouse management systems (WMS).

● 5+ years supporting data pipelines and middleware.

English Level

Advance. Fully fluent. Fluency in computing-related technical is required.


Type of work:

100 % Remote. Location is unimportant, but your standard working day must overlap at least 5 hours with 8:00 am – 5:00 pm (US) Central Standard Time.


You will report to the CTO. create and lead a small team to support data pipelines.

Hiring process: 

● Talk with Marina, Connector Pitcheers 

● Technical Interview

● Talk to Autoscheduler team



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(Disponible también en español)

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