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Cloud Architect

2 months ago

New York County New York, United States SoftwareOne Full time
About the Role

We are seeking a highly skilled Cloud Architect to join our team at SoftwareOne. As a Cloud Architect, you will be responsible for designing and implementing cloud-based data solutions that meet the needs of our customers.

Key Responsibilities
  • Design and architect end-to-end data pipelines, including data ingestion, storage, processing, and visualization components.
  • Develop and implement machine learning models and algorithms to extract insights and drive decision-making.
  • Work closely with data engineers and data scientists to ensure the reliability, scalability, and performance of data and AI solutions.
  • Evaluate and recommend appropriate technologies, tools, and frameworks to support data and AI initiatives.
  • Provide technical guidance and mentorship to team members on data architecture and AI best practices.
  • Collaborate with cross-functional teams, including software developers, business analysts, and project managers, to ensure successful delivery of data and AI projects.
  • Stay updated on the latest trends and advancements in data science, machine learning, and artificial intelligence, and assess their potential impact on our solutions and services.
  • Communicate effectively with stakeholders, including presenting technical concepts and solution designs to non-technical audiences.
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • Minimum of 5 years of proven experience.
  • At least 3 years of experience working in software development within cloud platforms and minimum 2 years of experience working in Pre-sales architecture.
  • Proficiency in designing architectures focused on APIs and application integration.
  • Experience in defining architectures within AWS, leveraging AWS Data Services such as Amazon EMR, Amazon RedShift, Amazon Quicksight, and Amazon Glue DataBrew.
  • Expertise in designing and implementing Data Warehouses, Datamarts, and Datalakes.
  • In-depth understanding of both relational and non-relational databases.
  • Competence in data integration, automation, and monitoring.
  • Ability to translate business requirements into scalable and efficient technical solutions.
Desirable Qualifications
  • Advanced English Proficiency: B2 level minimum.
  • Experience in architecture modernization and familiarity with DevOps and DevSecOps practices.
  • Relevant certifications in Data Science, Machine Learning, or Artificial Intelligence.
  • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
  • Advanced knowledge of programming languages such as Python or R.
  • Experience with big data technologies like Hadoop, Spark, or Kafka.
  • Work experience with containers and basic infrastructure knowledge.
  • Proficiency in consuming services from AWS and Azure, including the ability to work with cloud calculators.
  • Familiarity with Serverless computing and continuous monitoring of applications.