Presales- Data & App

SoftwareONE; Intsika Yethu Local Municipality; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A global software and cloud solutions provider is seeking an experienced Data Architect to design end-to-end data pipelines and provide technical guidance on data solutions. The ideal candidate has over 5 years of experience with expertise in Azure Data Services. Strong problem-solving and communication skills are essential, as well as the ability to adapt in a fast-paced environment.

Qualifications

• Minimum of 5 years of proven experience.
• At least 3 years of experience in software development within cloud platforms.
• Proficiency in designing architectures focused on APIs and application integration.

Responsibilities

• Collaborate with stakeholders to understand business objectives for data and AI solutions.
• Design end-to-end data pipelines including ingestion, storage, processing, and visualization.
• Evaluate and recommend technologies for data and AI initiatives.

Skills

Communication skills

Problem-solving

Collaboration

Attention to detail

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Services

AWS

Google Cloud

Python

R

Hadoop

Spark

Kafka

Job description

Why SoftwareOne?

SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 9,300 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 60 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON.

The role

The role:

• Collaborate with stakeholders to understand Client’s 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.
• Work closely with data architect and data engineers 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 for potential clients.
• Provide technical guidance and mentorship to clients 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.

What we need to see from you

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 Azure, leveraging Azure Data Services such as Azure analysis services, Azure SQL, Azure Data Factory, Azure Databricks, Fabric, and Power BI Services.
• 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:

• 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.