Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. ### 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)
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
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 Sr Director 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. 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. 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.
