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Data & AI Presales Consultant – Software One Experts

Software One Experts
Kuala Lumpur
Salary: Undisclosed

Software One Experts

Technology-Software

Role Summary

This role is for a Data & AI Presales Consultant focused on designing data solutions using Azure technologies. The position involves collaborating with sales teams and customers to gather requirements, design solutions, and deliver technical presentations.

Job Description

The role involves collaborating with sales teams and customers to gather requirements and design end-to-end data and AI solutions using Azure services. The position requires preparing and delivering technical presentations, designing and optimizing data models, defining data integration strategies, implementing security measures, and working closely with cross-functional teams to provide technical guidance. Staying updated with industry trends and emerging technologies to recommend innovative solutions is also part of the role.

Job Requirements

Experience in presales, solution architecture, or consulting roles, with a focus on data analytics and Azure cloud technologies.

Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, Azure OpenAI, and Power BI.

Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles.

Ability to design secure, scalable, and high-performing architectures.

Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.

Experience preparing and delivering technical presentations and proposals.

Commitment to inclusive, collaborative teamwork and continuous learning.

Quick Info

Company

Software One Experts

Location

Kuala Lumpur

Salary

Undisclosed

Skills Required

10 skills

Click to submit your application

Required Skills

1

Azure Cloud Technologies

2

Data Analytics

3

Solution Architecture

4

Data Modeling

5

ETL Processes

6

Data Warehousing

7

Data Governance

8

Technical Presentations

9

Stakeholder Management

10

Collaborative Teamwork

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