Solution Architect - Data & AI

at  SoftwareONE

Job Function: Software & Cloud Services The role:
We are looking an experienced Data and AI Solution Architect to design and implement powerful solutions demonstrating Azure and AWS cloud platforms. The ideal candidate will have a deep understanding of data architecture, artificial intelligence, and cloud technologies, with a focus on creating scalable and efficient solutions for our clients.

PREFERRED QUALIFICATIONS:

• Azure certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate.
• AWS certifications: AWS Certified Solutions Architect - Professional, AWS Certified Data Analytics - Specialty, AWS Certified Machine Learning - Specialty.
• Additional experience with graph databases (e.g., Neo4j, Amazon Neptune)
• Knowledge of time-series databases and IoT solutions.
  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
  Accommodations:
  At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
  SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.
  Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR

Architecture Design: Design comprehensive data and AI architectures using Azure and AWS services. Create detailed solution blueprints, including data flow diagrams and system architectures. Ensure designs implement to standard methodologies for security, scalability, and performance
Technical Leadership: Provide technical guidance to development teams throughout the project lifecycle. Collaborate with multi-functional teams to align solutions with business objectives. Mentor junior architects and developers on cloud and AI technologies
Cloud Platform Expertise: Leverage Azure and AWS services for data storage, processing, and analytics. Implement AI and machine learning solutions using cloud-native tools. Optimize cloud resource utilization and cost management
Data Management: Design data pipelines for efficient ETL processes. Implement data governance and quality control measures. Architect solutions for big data processing and real-time analytics
AI and Machine Learning: Develop architectures for machine learning model training and deployment. Implement MLOps practices for continuous integration and delivery of AI models. Design solutions for natural language processing, computer vision, and other AI domains
Integration and APIs: Design API strategies for detailed integration between systems. Implement microservices architectures when appropriate. Ensure interoperability between Azure, AWS, and on-premises systems.
Security and Compliance: Incorporate security standard methodologies into all solution designs. Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA). Implement data encryption, access controls, and audit mechanisms.
Performance Optimization: Conduct performance testing and optimization of data and AI solutions. Implement caching strategies and data partitioning for improved efficiency. Design for high availability and disaster recovery.
Emerging Technologies: Stay updated on the latest advancements in cloud, data, and AI technologies. Evaluate and recommend new tools and services for potential adoption.
What we need to see from you:
7+ Years experience in solution architecture, with a focus on data and AI solutions.
Extensive experience with Azure and AWS cloud platforms, including: Azure: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, Azure Cognitive Services
AWS: AWS Glue, Amazon EMR, Amazon Redshift, Amazon SageMaker, AWS Lambda.
Proficiency in cloud-native data storage solutions: Relational: Azure SQL Database, Amazon RDS, Amazon Aurora, NoSQL: Azure Cosmos DB, Amazon DynamoDB; Data Lakes: Azure Data Lake Storage, Amazon S3.
Expertise in data modeling and database design (star schema, snowflake schema, data vault).
Hands-on experience with ETL/ELT processes and data pipeline orchestration.
Proficiency in at least one programming language, preferably Python or Scala for data engineering tasks.
Experience with AI/ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, NLTK, OpenCV.
Familiarity with MLOps tools and practices: Azure DevOps, AWS CodePipeline, MLflow, Kubeflow.
Knowledge of containerization and orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS), Amazon EKS.
Experience with real-time data processing: Azure Stream Analytics, Amazon Kinesis, Apache Flink.
Understanding of data governance and security: Azure Active Directory, AWS IAM, data encryption, RBAC.
Proficiency in Infrastructure as Code (IaC): Azure Resource Manager (ARM) templates, AWS CloudFormation, Terraform
Experience with API design and implementation: RESTful APIs, GraphQL, API Management tools.
Familiarity with business intelligence and data visualization tools: Power BI, Tableau, Amazon QuickSight.
Experience with version control systems (e.g.,Git) and CI/CD pipelines.