Azure Data & AI Presales Architect

SoftwareOne; Makati; Presencial; PHP 1 500 000 - 2 400 000; Tempo integral

Resumo da oferta

SoftwareOne is seeking a seasoned Solution Architect – Data & AI for Microsoft Azure to design and implement data analytics and AI solutions in the Azure ecosystem. The ideal candidate will have deep Azure data services knowledge and a proven track record of architecting scalable, efficient platforms.

You will collaborate with data engineers, data scientists, and business analysts to shape architectures, ensure data quality, security, and performance, and guide on emerging AI capabilities like

Qualificações

• 5+ years experience as Solution Architect or similar in data analytics and Azure.
• Hands-on with Azure services: Synapse, Data Factory, Databricks, ML.
• Strong data modeling, ETL, warehousing, governance.
• Proficient Python/SQL and data manipulation.
• Excellent communication and Agile experience.

Responsabilidades

• Design end-to-end data and AI solutions on Azure.
• Create architectural diagrams and documentation.
• Collaborate with data engineers, data scientists, analysts.
• Ensure security, compliance, and performance.
• Mentor team and guide pre-sales activities.

Conhecimentos

Azure

Data Analytics

Data Modeling

ETL

Python/SQL

Communication

Agile

Solution Design

Formação académica

Bachelor’s degree in IT

Azure Solutions Architect Expert

Azure AI Engineer Associate

Azure Data Scientist/Engineer

Ferramentas

Azure Synapse

Azure Data Factory

Azure Databricks

Azure Machine Learning

Microsoft Purview

Azure OpenAI

Power BI

Descrição da oferta de emprego

SoftwareOne is seeking a seasoned Solution Architect – Data & AI for Microsoft Azure to design and implement data analytics and AI solutions in the Azure ecosystem. The ideal candidate will have deep Azure data services knowledge and a proven track record of architecting scalable, efficient platforms.

You will collaborate with data engineers, data scientists, and business analysts to shape architectures, ensure data quality, security, and performance, and guide on emerging AI capabilities like