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Presales Solution Architect - Azure Data & AI Job Opening In Singapore, Singapore – Now Hiring SoftwareONE


Job description

We are seeking a highly skilled and experienced Solution Architect – Data & AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform.

The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges.

  • Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.

  • Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms.

  • Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.

  • Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.

  • Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.

  • Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.

  • Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.

  • Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.

  • Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.

  • Demonstrable experience (5+ years) as a Solution Architect or similar role, with a focus on data analytics and Azure cloud technologies.

  • Extensive hands-on experience with Azure services such as AI Foundry, 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.

  • Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.

  • Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.

  • Good communication skills to effectively collaborate with technical and non-technical teams.

  • Experience in working with Agile methodologies and version control systems.

  • Demonstrable ability to work independently and manage multiple priorities effectively.

Education and Certification

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

  • Certification in Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.

What We Need to See From You

  • Report to practice lead.

  • Pre-sales experience.

  • Work within project team to develop and test data analytics platform and model.

  • Design, develop, and unit test in accordance with established standards.

  • Assist project team in analyzing and resolving technical issues.

  • Assist in preparing manuals, specifications, and other user documentation.

  • Package and support deployment releases.

  • Assist in the collection and documentation of user requirements, development of user stories, and estimates.

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Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Presales Solution Potential: Insight & Career Growth Guide


Real-time Presales Solution Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Presales Solution in Singapore, Singapore, highlighting market share and opportunities for professionals in Presales Solution roles.

1367 Jobs in Singapore
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Are You Looking for Presales Solution Architect Azure Data & AI Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SoftwareONE adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Presales Solution Architect Azure Data & AI Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Presales Solution Architect Azure Data & AI?

Key qualifications for Presales Solution Architect Azure Data & AI typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Presales Solution Architect Azure Data & AI Job Success

SoftwareONE interview tips for Presales Solution Architect   Azure Data & AI

Here are some tips to help you prepare for and ace your Presales Solution Architect Azure Data & AI job interview:

Before the Interview:

Research: Learn about the SoftwareONE's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Presales Solution Architect Azure Data & AI interview at SoftwareONE, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SoftwareONE's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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