Senior Field Engineer, Dataiku
East Region
$220-235k
+ Stock options
Collaborative data science platform
Open for applications
Collaborative data science platform
1001+ employees
Open for applications
$220-235k
+ Stock options
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- This role requires strong technical abilities, adaptability, inventiveness, business acumen, and strong communication skills
- Strong Linux system administration experience
- Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting, and tuning
- Experience with cloud based services like AWS, GCP, and Azure
- Grit when faced with technical issues. You don’t rest until you understand why it does not work
- Comfort and confidence in client-facing interactions
- Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting, and tuning
- Some experience with Python
- Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
- Experience in a client facing role as well as experience working with system integrators
Desirable
- Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
- Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
- Professional Cloud and/or Kubernetes certifications
- Some knowledge in data science and/or machine learning
- Some knowledge of Java
- Ability to speak Spanish
What the job involves
- Dataiku is looking for an experienced Architect to join its Field Engineering Team as a Sr Field Engineer. This position will support the deployment of Dataiku’s Everyday AI Platform to an ever growing customer base in the East region
- As a Senior Field Engineer, you will work with customers on their enterprise-wide deployments of Dataiku. In this role, you will help customers design, build, validate, and operate Dataiku’s Everyday AI Platform
- Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting-edge tools; cutting-edge infrastructure deployment stacks, cloud-based elastic compute engines like Spark or Kubernetes, and deep learning on GPUs
- If you are excited about 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
- Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences
- Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
- Deploy Dataiku in a large variety of technical environments (on prem/cloud, Kubernetes, Spark, Hadoop, etc)
- Design and build reference architectures, decks, scripts and diagrams to make the deployment and maintenance of Dataiku smooth and easy
- Coordinate with Revenue and Customer teams to deliver a consistent experience and message to our customers
- Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform
- Drive technical success by being a trusted advisor to our prospects and our internal account teams to provide the best recommendations and advance customer accounts
- Troubleshoot complex customer issues when necessary
Application process
- Initial call with a member of our Technical Recruiting team
- Zoom call with the Field Engineer Hiring Manager
- Technical Assessment to show your skills (Home Test)
- Culture Interview
- Final Interview with a Senior FE leader
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.5m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from anywhere policy that allows employees to work from their place of choice up to four weeks per year
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. Weʼve developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
Flatiron District, New York, NY
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Diversity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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