Pre-sales Architect Data and AI

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 incredible levels of Employee Satisfaction.

We are Humble. Our leaders operate with a high level of Discipline but can work at Speed manage change in a global economy.

We are a leading global provider of end-to-end software and cloud technology solutions, headquartered in Switzerland. Our 8,700 employees support our approximately 65,000 customers in their digital transformation.

The role Join our Services Delivery team We look forward to learning more about you and exploring how, working together, we can build an exceptional team.

Pre-sales Architect Data & AI Full Time Location : Mexico City Hybrid Model What will your day-to-day look like? 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.

LI-GR1 What we need to see from you The skills below will make you successful at this job, but we DO NOT expect to find all of them in every candidate.

What do we expect from you? 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.

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. Familiarity with Serverless computing and continuous monitoring of applications.

Why should you join our team? Experience a unique corporate culture where values are upheld to foster an inclusive and supportive work environment.

Participate in employee recognition programs to celebrate achievements and contributions. Access a wide range of training and development opportunities to enhance your skills and expertise.

Enjoy a healthy work-life balance with flexible working arrangements. Benefit from our referral bonus program and other employee perks.

Engage in multicultural interactions within a diverse team. Contribute to meaningful initiatives that leverage data and AI for societal impact.

Participate in corporate events and access the latest technologies to drive innovation. Join a collaborative environment where your ideas and expertise are valued, and career growth is encouraged.

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.

Job Function Software & Cloud ServicesJoin our Services Delivery team We look forward to learning more about you and exploring how, working together, we can build an exceptional team.

Pre-sales Architect Data & AI Full Time Location : Mexico City Hybrid Model What will your day-to-day look like? 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.

LI-GR1The skills below will make you successful at this job, but we DO NOT expect to find all of them in every candidate.

What do we expect from you? 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.

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. Familiarity with Serverless computing and continuous monitoring of applications.

Why should you join our team? Experience a unique corporate culture where values are upheld to foster an inclusive and supportive work environment.

Participate in employee recognition programs to celebrate achievements and contributions. Access a wide range of training and development opportunities to enhance your skills and expertise.

Enjoy a healthy work-life balance with flexible working arrangements. Benefit from our referral bonus program and other employee perks.

Engage in multicultural interactions within a diverse team. Contribute to meaningful initiatives that leverage data and AI for societal impact.

Participate in corporate events and access the latest technologies to drive innovation. Join a collaborative environment where your ideas and expertise are valued, and career growth is encouraged.

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.