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Cloud Architect for Data and AI Solutions
hace 2 meses
We are seeking a highly skilled Cloud Architect for Data and AI Solutions to join our team at SoftwareOne. As a key member of our Services Delivery team, you will be responsible for designing and architecting end-to-end data pipelines, developing machine learning models, and working closely with cross-functional teams to ensure successful delivery of data and AI projects.
Key Responsibilities- Collaborate with stakeholders to understand business objectives and requirements, and translate them into data and AI solution designs.
- 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.
- 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.
- 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.
- 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.
We are committed to promoting equal employment opportunities for all individuals, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability, or any other characteristic protected by applicable laws.
At SoftwareOne, we value our employees' contributions and offer a range of benefits, including a healthy work-life balance, flexible working arrangements, and opportunities for career growth and development.
