Pre-Sales Solutions Architect @ Dataiku

Pre-Sales Solutions Architect

Posted on 2/28/2023

INACTIVE

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Data Science

Google Cloud Platform

Hadoop

Java

Linux/Unix

Microsoft Azure

REST APIs

Sales

Terraform

Kubernetes

Python

Ansible

Requirements

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)
Ability to overcome security and architecture roadblocks coming from prospect IT through a deep knowledge of Dataiku and the surrounding environment

Responsibilities

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 evaluation technical environments (on prem/cloud, kubernetes, spark, hadoop …)
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

Desired Qualifications

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
Some knowledge in data science and/or machine learning
Some knowledge of Java

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.

Dataiku is looking for an experienced Architect to join its Field Engineering Team as a Pre-Sales Solutions Architect. This position will support the deployment of Dataiku’s Everyday AI Platform to an ever growing customer base.

As a Pre-Sales Solutions Architect, you’ll work with customers at the Pre-Sales stage of their relationship with Dataiku - aiding in conversations with IT and Security teams, helping customers deploy evaluation software in their environments, determining target architectures for post-sale implementations, and more. Showing our prospects that the technical team at Dataiku can be the trusted technical advisor and subject matter expert is a core component of the role. You will help customers to design and validate their future Data Science and AI Everyday Platforms, and set them up for success with Dataiku.

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 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 on Kubernetes, and deep learning on 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.

In this role you will:

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 evaluation technical environments (on prem/cloud, kubernetes, spark, hadoop …)
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

You might be a good fit if you have:

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)
Ability to overcome security and architecture roadblocks coming from prospect IT through a deep knowledge of Dataiku and the surrounding environment

Bonus points for any of these:

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
Some knowledge in data science and/or machine learning
Some knowledge of Java

#LI-Remote

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku’s incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges

$200,000—$230,000 USD

About Dataiku:

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

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: [email protected]

1,001-5,000 employees

Website

Enterprise AI & ML platform

Company Overview

Dataiku’s mission is to pioneer everyday AI by helping everyone in an organization – from technical teams to business leaders – use data to make better decisions and drive business value on a daily basis. The company has developed a platform that systemizes the use of data and AI to enable organizations to customize, share, and reuse AI components and apps to easily deliver high-quality projects and streamline the path to production.

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Company Core Values

Diversity of People & Perspectives
Tolerance & Open-Mindedness
Accountable Camaraderie
Work-Life Balance
Dedication to Learning
Conscious Long-Term Responsibility