Solution Architect - Data amp AI - SoftwareOne

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.

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 adhere to standard methodologies for security scalability and performance

Technical Leadership: Provide technical guidance to development teams throughout the project lifecycle. Collaborate with multifunctional 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 cloudnative 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 realtime 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 seamless integration between systems. Implement microservices architectures when appropriate. Ensure interoperability between Azure AWS and onpremises 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.Contribute to the companys technology roadmap.

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 cloudnative 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)

Handson 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 scikitlearn 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 realtime 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

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 timeseries databases and IoT solutions.

SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build buy and manage 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 companys 8900 employees are driven to deliver a portfolio of 7500 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 confidential