Solutions Architect Spanish Speaker Spain

Dataiku
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
User Authentication
Azure
Big Data
Software as a Service
Cloud Computing
Data Warehousing
Identity and Access Management
Python
Lightweight Directory Access Protocols (LDAP)
Linux System Administration
Machine Learning
Open Source Technology
Ansible
Software Deployment
SQL Databases
Graphics Processing Unit (GPU)
Large Language Models
Snowflake
Spark
Cloudformation
Data Lake
Kubernetes
Dataiku
Terraform
Databricks

Job description

Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge. What to know about Dataiku Why Engineering at Dataiku Dataikus SaaS cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities youll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. What to know about the Field Engineering team As a Field Engineer youll work

Requirements

with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide this role you will help customers to design build validate and run their Data Science and AI Platforms. How youll make an impact This role requires strong technical abilities adaptability inventiveness and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes cloud-based elastic compute engines and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems this will be a great fit for you. Some expected outcomes for this role : * Understand customer requirements in terms of scalability availability and security and provide architecture recommendations * Deploy Dataiku in a large variety of technical environments (SaaS Kubernetes Spark Cloud or on-prem) * Automate operation installation and monitoring of the Data Science ecosystem components in our infrastructure stack * Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers * Drive technical success by being a trusted advisor to our customers and our internal account teams What you need to be successful : * Professional experience with at least one cloud based services (AWS GCP or Azure) * Hands-on experience with the Kubernetes ecosystem for setup administration troubleshooting and tuning * Familiarity with Ansible or other application deployment tools (Terraform CloudFormation etc) * Experience with cloud based Data Warehouses and Data Lakes (Snowflake Databricks) * Language Requirements : Business-level Spanish proficiency required (both written and spoken). The candidate should be able to conduct professional conversations write formal documents and communicate effectively with Spanish-speaking clients * Some experience with Python * Grit when faced with technical issues * Comfort and confidence in client-facing interactions * Ability to work both pre and post sale What will make you stand out : * Some knowledge in Data Science and / or machine learning * Linux system administration experience * Hands-on experience with Spark ecosystem for setup administration troubleshooting and tuning * Experience with authentication and authorization systems like(A)AD IAM and LDAP #LI-Hybrid What does the hiring process look like 1. Initial call with a member of our Technical Recruiting team 2. Video call with the Field Engineer Hiring Manager 3. Technical Assessment to show your skills (Home Test) 4. Debrief of your Tech Assessment with Field Engineer Team members 5. Final Interview with the VP Field Engineering What are you waiting for! At Dataiku youll be part of a journey to shape the, locations where we operate. This applies to all policies and procedures related to recruitment and hiring compensation benefits performance promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation please contact us at : Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application Zoom we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity please review our page on identifying and reporting fraudulent activity here. Key Skills * Experience Working With Students * Classroom Management * Communication skills * Algebra * Behavior Management * Classroom Experience * Lesson Planning * Preschool Experience * Teaching * Training & Development * Experience with Children * Writing Skills Employment Type : Full-Time Experience : years Vacancy : 1 #J-18808-Ljbffr

Apply for this position