Full-Time

Solutions Architect

London or Remote UK

Posted on 9/23/2024

Dataiku

Dataiku

1,001-5,000 employees

Develops AI solutions for business operations

Data & Analytics
AI & Machine Learning

Junior, Mid

London, UK

Hybrid role requiring some in-office presence.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Data Science
Apache Spark
AWS
Terraform
Ansible
Snowflake
Google Cloud Platform
Requirements
  • 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
Responsibilities
  • 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

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have significantly improved clients' forecasting accuracy and data processing speeds, exemplified by a retail client that increased forecast runtime by 900% with 88% accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing its offerings through seamless integration with AWS AI services. Dataiku's goal is to empower businesses to effectively leverage AI for better decision-making and operational efficiency.

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

5%

2 year growth

7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku Stories empowers users to create visual presentations with Generative AI.
  • Recognition by Morgan Stanley highlights Dataiku's platform effectiveness in global enterprises.
  • Inclusion in Forbes Cloud 100 enhances Dataiku's reputation as a leading AI platform.

What critics are saying

  • Increased competition from AI platforms like Databricks may erode market share.
  • High costs of generative AI initiatives may limit adoption among potential clients.
  • Reliance on partnerships like AWS poses risks if strategic directions change.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and data analytics.
  • Partnerships with AWS and Rower Consulting expand Dataiku's industry reach and capabilities.
  • Dataiku's LLM Guard Services ensure controlled Generative AI rollouts in enterprises.

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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

INACTIVE