Azure Databricks Data Architect for Supply Chain

Adastra Corp; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Adastra Corp is seeking an experienced Data Architect to lead enterprise data solutions for the supply chain domain. You will design scalable data architectures, model data, and define governance standards to support analytics and business needs across global teams.

The role requires hands-on experience with Azure Data Factory, Azure Synapse, Databricks, and SAP S/4HANA. Collaboration with engineers, analysts, and stakeholders is essential to deliver robust data platforms.

Qualifications

• Proven experience as a Data Architect or Enterprise Data Architect.
• Strong data modeling and solution design skills.
• Mandatory experience in Supply Chain, Logistics, Manufacturing, or related domains.
• Ability to translate business needs into scalable data solutions.

Responsibilities

• Design and implement enterprise data architectures across platforms.
• Collaborate with stakeholders to translate supply chain requirements into data solutions.
• Define data models, governance standards, and validation processes.
• Oversee end-to-end data flows, transformations, and integration.
• Lead data platform initiatives with SAP S/4HANA and cloud services.
• Ensure data quality and consistency across systems.

Skills

Data Modeling

Solution Architecture

Stakeholder Management

Data Integration

ETL/ELT

Data Governance

Data Quality

Business Requirements Analysis

Enterprise Data Platforms

Supply Chain Analytics

Education

Bachelor's in Computer Science / Information Systems

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Cloud

Databricks

SAP S/4HANA

Job description

Adastra Corp is seeking an experienced Data Architect to lead enterprise data solutions for the supply chain domain. You will design scalable data architectures, model data, and define governance standards to support analytics and business needs across global teams.

The role requires hands-on experience with Azure Data Factory, Azure Synapse, Databricks, and SAP S/4HANA. Collaboration with engineers, analysts, and stakeholders is essential to deliver robust data platforms.