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.
Why Engineering at Dataiku?
Dataiku’s 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, you'll 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, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.
How you’ll 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? #LI-Hybrid #LI-AN1
Initial call with a member of our Technical Recruiting team
Video call with the Field Engineer Hiring Manager
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with Field Engineer Team members
Final Interview with the VP Field Engineering
What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in 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: reasonable-accommodations@dataiku.com 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.