Pre-Sales Architect Data and AI Expert
hace 3 semanas
The role involves collaborating with stakeholders to understand business objectives and requirements, and translating them into data and AI solution designs.
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.
- 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.
Behavioral Skills:
- Effective communication skills to interact with clients and team members.
- Strong problem-solving abilities to address complex technical challenges.
- Adaptability to work in a dynamic and fast-paced environment.
- Collaboration skills to work effectively within cross-functional teams.
- Attention to detail to ensure accuracy and quality in architectural designs.
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.
Why SoftwareOne?
At SoftwareOne, 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.
Why SoftwareOne?: Success at SoftwareOne is not defined by what you do for yourself, but by what you deliver for our customers, the business and for the employees around you. SoftwareOne employees are energized, agile and are laser focused on delivering world class Customer Satisfaction and results. Our leaders motivate and inspire their teams and provide a working environment that delivers in
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