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Solution Architect

3 months ago

Dubai, United Arab Emirates Talent Pal Full time
Job Function: Software & CloudServices The role: We are looking an experienced Dataand AI Solution Architect to design and implement powerfulsolutions demonstrating Azure and AWS cloud platforms. The idealcandidate will have a deep understanding of data architectureartificial intelligence and cloud technologies with a focus oncreating scalable and efficient solutions for our clients.
Responsibilities:
Architecture Design: Design comprehensive data and AIarchitectures using Azure and AWS services. Create detailedsolution blueprints including data flow diagrams and systemarchitectures. Ensure designs adhere to standard methodologies forsecurity scalability and performance
Technical Leadership: Provide technical guidance todevelopment teams throughout the project lifecycle. Collaboratewith multifunctional teams to align solutions with businessobjectives. Mentor junior architects and developers on cloud and AItechnologies
Cloud Platform Expertise: Leverage Azure and AWS servicesfor data storage processing and analytics. Implement AI and machinelearning solutions using cloudnative tools. Optimize cloud resourceutilization and cost management
Data Management: Design data pipelines for efficient ETLprocesses. Implement data governance and quality control measures.Architect solutions for big data processing and realtime analytics
AI and Machine Learning: Develop architectures formachine learning model training and deployment. Implement MLOpspractices for continuous integration and delivery of AI models.Design solutions for natural language processing computer visionand other AI domains
Integration and APIs: Design API strategies for seamlessintegration between systems. Implement microservices architectureswhen appropriate. Ensure interoperability between Azure AWS andonpremises systems.
Security and Compliance: Incorporate security standardmethodologies into all solution designs. Ensure compliance withindustry standards and regulations (e.g. GDPR HIPAA). Implementdata encryption access controls and audit mechanisms.
Performance Optimization: Conduct performance testing andoptimization of data and AI solutions. Implement caching strategiesand data partitioning for improved efficiency. Design for highavailability and disaster recovery.
Emerging Technologies: Stay updated on the latestadvancements in cloud data and AI technologies. Evaluate andrecommend new tools and services for potential adoption.Contributeto the companys technology roadmap. What we need tosee from you: 7 Years experience in solutionarchitecture with a focus on data and AI solutions Extensive experience with Azure and AWScloud platforms including: Azure: AzureData Factory Azure Synapse Analytics Azure Databricks Azure MachineLearning Azure Cognitive Services AWS: AWSGlue Amazon EMR Amazon Redshift Amazon SageMaker AWS Lambda Proficiency in cloudnative data storagesolutions: Relational: Azure SQL Database Amazon RDS Amazon Aurora;NoSQL: Azure Cosmos DB Amazon DynamoDB; Data Lakes: Azure Data LakeStorage Amazon S3 Expertise in datamodeling and database design (star schema snowflake schema datavault) Handson experience with ETL/ELTprocesses and data pipeline orchestration Proficiency in at least one programming language preferably Pythonor Scala for data engineering tasks Experience with AI/ML frameworks and libraries: TensorFlow PyTorchscikitlearn NLTK OpenCV Familiarity withMLOps tools and practices: Azure DevOps AWS CodePipeline MLflowKubeflow Knowledge of containerization andorchestration: Docker Kubernetes Azure Kubernetes Service (AKS)Amazon EKS Experience with realtime dataprocessing: Azure Stream Analytics Amazon Kinesis Apache Flink Understanding of data governance andsecurity: Azure Active Directory AWS IAM data encryption RBAC Proficiency in Infrastructure as Code(IaC): Azure Resource Manager (ARM) templates AWS CloudFormationTerraform Experience with API design andimplementation: RESTful APIs GraphQL API Management tools Familiarity with business intelligence anddata visualization tools: Power BI Tableau Amazon QuickSight Experience with version control systems(e.g. Git) and CI/CD pipelines
PreferredQualifications:
Azure certifications: Azure Solutions Architect Expert Azure DataEngineer Associate Azure AI Engineer Associate. AWS certifications: AWS Certified SolutionsArchitect Professional AWS Certified Data Analytics Specialty AWSCertified Machine Learning Specialty. Additional experience with graph databases (e.g. Neo4j AmazonNeptune) Knowledge of timeseries databasesand IoT solutions.
Why SoftwareOne: SoftwareOne is a leading globalsoftware and cloud solutions provider that is redefining howcompanies build buy and manage everything in the cloud. By helpingclients to migrate and modernize their workloads and applicationsand in parallel to navigate and optimize the resulting software andcloud changes SoftwareOne unlocks the value of technology. Thecompanys 8900 employees are driven to deliver a portfolio of 7500software brands with sales and delivery capabilities in 90countries. Headquartered in Switzerland SoftwareOne is listed onthe SIX Swiss Exchange under the ticker symbol SWON. Visit us atconfidential Thisjob has been sourced from an external job board.
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