Azure Data & AI Presales Architect

SoftwareOne; Makati; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

SoftwareOne is seeking a Solution Architect – Data & AI for Microsoft Azure to design and implement scalable data analytics and AI solutions on Azure. You will collaborate with data engineers and scientists to create end-to-end architectures, artifacts, and blueprints that address complex business challenges.

The role requires deep Azure data services knowledge, hands-on experience with multiple Azure offerings, and a track record of delivering robust platforms.

Qualifications

• Demonstrable experience (5+ years) as a Solution Architect or similar role, focusing on data analytics and Azure cloud technologies.
• Extensive hands-on experience with Azure services including AI Foundry, Synapse Analytics, Data Factory, Databricks, ML, Purview, Fabric, Cognitive Services, OpenAI, and Power BI.
• Solid understanding of data modeling, ETL processes, data warehousing, and governance.

Responsibilities

• Collaborate with cross-functional teams to gather requirements and design end-to-end data and AI solutions.
• Create architectural diagrams and documentation for cloud-based analytics platforms.
• Define data integration strategies to extract, transform, and load data into the analytics platform.

Skills

Azure cloud

Python

SQL

Data modeling

ETL

Data governance

Agile

Communication

Version control

Education

Bachelor’s or associate degree in IT or related subject area

Tools

Azure Synapse Analytics

Azure Data Factory

AI Foundry

Azure Databricks

Azure Machine Learning

Microsoft Purview

Fabric

Azure Cognitive Services

Azure OpenAI

Power BI

Job description

SoftwareOne is seeking a Solution Architect – Data & AI for Microsoft Azure to design and implement scalable data analytics and AI solutions on Azure. You will collaborate with data engineers and scientists to create end-to-end architectures, artifacts, and blueprints that address complex business challenges.

The role requires deep Azure data services knowledge, hands-on experience with multiple Azure offerings, and a track record of delivering robust platforms.