Job Function: Software & Cloud The role:

• Solution Architect – Data Analytics for AWS to join our team will play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform.
• Solution Design: Collaborate with multi-functional teams to capture requirements, design end-to-end data analytics solutions, and build 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, impactful, 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 standard processes to protect sensitive data and ensure compliance with industry standards and regulations.
• Solve 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 collaborators to understand their needs and provide technical mentorship.
• Innovation: Stay up-to-date with industry trends and new technologies to recommend innovative solutions that improve our data analytics capabilities.

What we need to see from you:

• 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.
• Overall 9 - 12yrs inudustry experience, Good experience (3+ years) as a Solution Architect /Pre-sales or similar role, with a focus on data analytics and AWS cloud technologies, and experience and knowledge on Microsoft Azure Data Analytics technology is a plus.
• Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.
• Solid grasp 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 interpersonal skills to efficiently collaborate with technical and non-technical teams.
• AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.
• Experience in working with Agile methodologies and version control systems.
• Demonstrable ability to work independently and prioritise efficiently.
• knowledge of Gen AI and AWS offerings like Bedrock and Q.
• Bachelors or associate degree in IT discipline
• Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must.

Why SoftwareOne?:
SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.softwareone.com/en

• Solution Architect – Data Analytics for AWS to join our team will play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform.
• Solution Design: Collaborate with multi-functional teams to capture requirements, design end-to-end data analytics solutions, and build 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, impactful, 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 standard processes to protect sensitive data and ensure compliance with industry standards and regulations.
• Solve 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 collaborators to understand their needs and provide technical mentorship.
• Innovation: Stay up-to-date with industry trends and new technologies to recommend innovative solutions that improve our data analytics capabilities