Data & AI Presales Consultant (Indonesia)

SoftwareONE; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A global software and cloud solutions provider is seeking a Solution Architect – Data Analytics for AWS in Jakarta. The role involves designing and implementing scalable data analytics solutions using AWS. Candidates should have experience with data analytics and a solid understanding of AWS services. This position requires excellent analytical and problem-solving skills, along with effective collaboration across teams.

Qualifications

• Proven experience (1+ years) as a Solution Architect or similar role.
• Extensive hands‑on experience with AWS services.
• Strong understanding of data governance principles.

Responsibilities

• Collaborate with teams to gather requirements and design solutions.
• Leverage AWS services to architect data analytics platforms.
• Optimize data models for reporting and analytics needs.

Skills

AWS services knowledge

Data modeling

ETL processes

Python

SQL

Communication skills

Agile methodologies

Education

Bachelor’s or associate degree in IT discipline

AWS Certified: Solution Architect

AWS Certified: Data Analytics Specialty

Job description

Why SoftwareOne?

SoftwareOne and Crayon have joined forces to become a global, AI‑powered software and cloud solutions provider. With a presence in over 70 countries and a team of around 13,000 professionals, the combined organization brings together global scale and local expertise to help clients reduce costs, accelerate growth, and navigate complex IT environments with confidence. Leveraging deep capabilities in cloud, software, data, and AI, the company empowers organizations to modernize, innovate, and unlock the full value of their technology investments. Exchange and Euronext Oslo Børs under the ticker symbol SWON. Visit us at www.softwareone.com

The role

We are seeking a highly skilled and experienced Solution Architect – Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

Responsibilities

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


• AWS Expertise: Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics 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.


• Troubleshooting and 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 stakeholders 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 analytics capabilities.

What we need to see from you

• Proven experience (1+ years) as a Solution Architect or similar role, with a focus on data analytics and AWS cloud technologies.


• Extensive hands‑on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, or AWS QuickSight.


• Strong 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.


• Strong communication skills to effectively collaborate with technical and non‑technical teams.


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


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


• 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 technical documentation.


• Package and support deployment releases.


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


• Report to practice lead.

Education and Certification

• Bachelor’s or associate degree in IT discipline.


• AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must, or AWS Certified Professional or Associate.