Vacancy expired!
Our client is a worldwide leader in information technologies with products that include electronic, automotive, systems, and services. They are currently trying to fulfill an urgent role for a Lumada Software solution engineer - Technical Presales in their robust Solution Engineering team. This is a full-time position and can be worked remotely. What you'll be doing
- Solution: Determining business outcomes, data challenges and technical requirements, design of solution architectures, and assessing technical fit.
- Custom Presentations: Create compelling customized presentations tailored to a customer use case
- Product Expertise: Conduct technical Q&A sessions and demonstrate product features, installation, configuration, and best practices.
- Teamwork: Collaboration with data experts, data scientists, consultants across the company to deliver advanced custom demonstrations, workshops, and POCs.
- Customer-facing technical pre-sales experience, supporting enterprise software sales cycles.
- Understanding of big data, data management, data governance, IoT technologies & microservices architectures.
- Hands on experience of ETL, Big Data (e.g. Hadoop, Hive, NoSQL, Spark) Data catalog (e.g. metadata, data lineage) and Serverless (e.g. lambdas, containerized infrastructure, Docker, Kubernetes).
- You are able to build a brilliant virtual team around you to help you achieve success (these could be Sales Specialists, Technical Sales Consultants and functional management). We are all here to support you find success and help you achieve your targets.
- You are an excellent communicator with outstanding interpersonal and presentation skills.
- Proven ability to sell a technical value proposition; perform/lead a technical sale
- Proven ability to communicate technical capabilities and complex ideas
- Proven experience in these core technologies
- data management, ETL, databases, federated data
- data analytics, data viz, business intelligence
- cloud platforms (AWS, GCP, AZURE, etc.)
- Proven experience in at least 2 of these core technologies
- Data governance, data catalog, data lineage, privacy, privacy by design, data quality, data profiling
- Big data, data lakes, data architecture
- IoT, sensors, data messaging, streaming
- Microservices architecture, containerized infrastructure, K8s, docker
- Data science, ML/AI, MLOps
Vacancy expired!