Solution Architect - Data & AI

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Req #: 23768
Type: Regular Full-Time
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SoftwareOne

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				Overview:

Hear firsthand from SoftwareOne APAC leaders as they unveil our exciting business and growth plan, spill the beans on our hiring initiatives, and reveal why joining SoftwareOne is a game-changer. Join us now and be part of our incredible journey.

Responsibilities:

Job Description:

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.

Qualifications:

Skills

* Has over 6+ years of experience in Data or Data analytics.
* Proven experience (3+ 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 quick sight etc.
* 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.

Education and Certification

* Bachelors or associate degree in IT discipline
* Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must or AWS Certified Professional or Associate.

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, specification, and other technical documentations.
* Package and support deployment releases.
* Assisting in the collection and documentation of user's requirements, development of user stories, and estimates.
			
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