PreSales Consultant Data & AI

				Overview:

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 extraordinary Customer Satisfaction and results. Our leaders empower 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 handle 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.

Responsibilities:

Join our Presales team! We are excited to learn more about you and explore how we can work together to build an outstanding and diverse team.

Pre-sales Consultant

Data & AI
Full Time | Hybrid Model

What will your day-to-day look like?

* Collaborate with customers, partners, and team members to understand business objectives and translate them into data and AI solution designs.
* Architect and design end-to-end data pipelines, including data ingestion, storage, processing, and visualization components.
* Develop and implement machine learning models and algorithms to drive insights and decision-making.
* Work closely with data engineers and data scientists to ensure data and AI solutions are reliable, scalable, and high-performing.
* Evaluate and recommend technologies, tools, and frameworks to support data and AI initiatives.
* Provide technical guidance and mentorship on data architecture and AI standard methodologies.
* Work closely with multi-functional teams, such as software developers, business analysts, and project managers, to ensure successful delivery of data and AI projects.

Qualifications:

While the skills below are important, we encourage candidates with a diverse set of backgrounds and experiences to apply. We do NOT expect every candidate to meet all the criteria.

* Degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
* Minimum of 5 years of confirmed experience, including at least 2 years in Pre-sales architecture.
* Experience in software development for cloud platforms, with a focus on API and application integration architectures.
* Proficiency in Azure Data and AI Portfolio, including experience with Data Warehouses, Datamarts, and Datalakes.
* Knowledge of relational and non-relational databases, as well as data integration, automation, and monitoring.
* Ability to translate business requirements into scalable and efficient technical solutions.

Desirable experience:

* Proficiency in Security and SecOps Tools: A solid understanding of security technologies such as firewalls, intrusion detection/prevention systems (IDS/IPS), SIEM tools (e.g., Splunk, QRadar), and endpoint protection platforms (EPP/EDR). Previous experience in implementing or supporting Security Operations Center (SOC) processes using recognized industry methodologies.
* Expertise in Azure Security Services: Proficiency in Azure security tools and services such as Azure Security Center, Azure Defender, Azure Sentinel, and Azure Active Directory (AAD). Experience in designing and implementing security solutions within Azure environments, including securing virtual networks, managing identity and access, and supervising threats through Azure-native tools.
Behavioral Skills:
* Good communication skills for interacting with clients and team members.
* Problem-solving abilities to address complex technical challenges.
* Adaptability to thrive in a fast-paced, dynamic environment.
* Collaborative approach to optimally work within diverse, multi-functional teams.
* Attention to detail to ensure accuracy and quality in design.
Desirable Qualifications:
* English proficiency at B2 level or higher.
* Experience with architecture modernization and familiarity with "" practices or equivalent experience.
* Certifications in Data Science, Machine Learning, or AI.
* Knowledge of programming languages like Python or R.
* Familiarity with data technologies such as Hadoop, Spark, and Kafka.
* Familiarity with containers and basic infrastructure knowledge.
* Proficiency in consuming services from Azure and working with cloud cost calculators.
Why should you join our team?
* Experience a workplace culture that promotes inclusion, diversity, and support.
* Participate in employee recognition programs celebrating achievements and contributions.
* Access a variety of training and development opportunities to grow your skills.
* Enjoy a healthy work-life balance with flexible work arrangements.
* Benefit from our referral bonus program and other employee perks.
* Work within a multicultural team, bringing together a diversity of perspectives.
* Contribute to meaningful projects by bringing to bear data and AI for social impact.
* Join a collaborative environment where your ideas are valued, and career growth is encouraged.
			

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