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Dataiku Jobs in Georgia (NOW HIRING)

Princeton IT Services

Dataiku Admin

Alpharetta, GA · On-site

$17.50 - $23.75/hr

Dataiku Admin Location: Berkeley Heights, NJ / Alpharetta, GA Experience: 10+ Years Employment Type: Full-time/Contract Role Overview We are seeking a skilled Dataiku Administrator with strong DevOps ...

TIER4 GROUP

Data Architect

Atlanta, GA · Hybrid

$61.25 - $78.75/hr

... Dataiku, Snowflake, DBT, Airbyte, Sigma, Qlik, Fivetran, Salesforce, and Workday. · Familiarity with regulatory compliance requirements, including GDPR and HIPAA. · Experience working in cross ...

United Airlines

Blue Yonder Technical Analyst

Atlanta, GA · On-site

$67K - $127K/yr

Hands-on work with AI platforms and tools such as Claude, Open AI Codex, Palantir, Databricks, Dataiku, Microsoft Fabric * Knowledge of consumer products (non-retail), manufacturing, life sciences ...

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How much do dataiku jobs pay per month?

As of Jul 26, 2026, the average monthly pay for dataiku in Georgia is $3,736.42, according to ZipRecruiter salary data. Most workers in this role earn between $2,741.67 and $4,225.00 per month, depending on experience, location, and employer.

Is Dataiku a good company to work for?

Dataiku is a technology company known for its data science platform, and many employees cite a collaborative work environment and opportunities for skill development. As a data analyst or data scientist working there, you can expect a focus on innovation, teamwork, and continuous learning. Employee reviews vary, so researching specific roles and company culture is recommended.

Is Dataiku a big company?

Dataiku is a mid-sized company specializing in data science and machine learning platforms. It has grown significantly since its founding and serves numerous enterprise clients worldwide, making it a notable player in the industry. Employees working there often use tools like Python, R, and SQL, and the company offers a collaborative work environment.

What are the typical day-to-day responsibilities for someone working with the Dataiku platform?

Professionals working with the Dataiku platform spend much of their day building and maintaining data pipelines, collaborating with stakeholders to define business requirements, developing and deploying machine learning models, and ensuring data quality. They also use Dataiku DSS to automate workflows, prepare datasets, and visualize analytical results. Regular communication with data engineers, business analysts, and management is essential to align data projects with organizational goals. The role often involves troubleshooting technical challenges and staying current with platform updates and best practices.

How much do Dataiku consultants make?

Dataiku consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and project complexity. Senior consultants with specialized skills in data science and machine learning can earn higher salaries, especially when working on complex integrations or enterprise-scale projects.

What does Dataiku do?

A Dataiku professional works with the Dataiku platform to develop and implement data analytics, machine learning models, and data workflows. They often use tools like SQL, Python, or R and collaborate with data teams to turn data into actionable insights. Strong technical skills and understanding of data science processes are essential for this role.

What is a Dataiku job?

A Dataiku job typically involves working with Dataiku DSS, a collaborative data science and machine learning platform used for analytics, automation, and AI development. Roles can vary from data engineers and data scientists to machine learning engineers and analytics professionals who use Dataiku to build, deploy, and manage data workflows. Responsibilities may include data preparation, model training, automation, and integrating Dataiku with other enterprise systems. Companies use Dataiku to streamline AI and analytics processes, improving decision-making and operational efficiency. Proficiency in Dataiku, Python, SQL, and machine learning concepts is often required for these roles.

What are the key skills and qualifications needed to thrive in the Dataiku position, and why are they important?

To excel as a Dataiku Data Scientist or Platform Specialist, you typically need a strong background in data analysis, machine learning, and programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with the Dataiku Data Science Studio (DSS) platform, plus relevant certifications like Dataiku DSS Associate or Designer, is highly valued. Strong problem-solving skills, effective communication, and teamwork are important soft skills to succeed in this role. These abilities ensure that data solutions are effectively designed, implemented, and communicated within cross-functional teams, driving successful business outcomes.

What are the most commonly searched types of Dataiku jobs in Georgia? The most popular types of Dataiku jobs in Georgia are:
What are popular job titles related to Dataiku jobs in Georgia? For Dataiku jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Dataiku jobs in Georgia look for? The top searched job categories for Dataiku jobs in Georgia are:
What cities in Georgia are hiring for Dataiku jobs? Cities in Georgia with the most Dataiku job openings:
Dataiku jobs near you
Infographic showing various Dataiku job openings in Georgia as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 4% Part Time, and 6% Contract. Highlights an 68% Physical, 8% Hybrid, and 24% Remote job distribution, with an average salary of $44,837 per year, or $21.6 per hour.
Dataiku Admin

Dataiku Admin

Princeton IT Services

Alpharetta, GA • On-site

$17.50 - $23.75/hr

Full-time

Posted 14 days ago

Job description

Job Title: Dataiku Admin

Location: Berkeley Heights, NJ / Alpharetta, GA
Experience: 10+ Years
Employment Type: Full-time/Contract

Role Overview

We are seeking a skilled Dataiku Administrator with strong DevOps experience to manage, automate, and scale our Dataiku DSS platform. This role will partner with data engineers, data scientists, and IT operations to ensure a secure, high-performing, and reliable analytics environment. The ideal candidate combines platform administration expertise with modern DevOps practices such as CI/CD, infrastructure as code, and cloud automation.

Key Responsibilities

Platform Administration

  • Install, configure, upgrade, and maintain Dataiku DSS across development, test, and production environments.
  • Manage user access, security groups, authentication (LDAP/SSO), and project governance.
  • Monitor platform health, performance tuning, log management, and capacity planning.
  • Administer Dataiku code environments, plugins, and integrations with external systems.

DevOps & Automation

  • Design and maintain CI/CD pipelines for Dataiku projects using Git, Jenkins, GitLab CI, or Azure DevOps.
  • Automate environment provisioning using Terraform, Ansible, or similar IaC tools.
  • Implement automated deployment of Dataiku bundles and project promotion workflows.
  • Support containerization (Docker/Kubernetes) for scalable execution.

Cloud & Infrastructure

  • Manage Dataiku on cloud platforms (AWS/Azure/GCP) including networking, storage, and IAM.
  • Configure integrations with data platforms such as Snowflake, Databricks, Redshift, BigQuery, and on-prem databases.
  • Implement backup, disaster recovery, and high-availability strategies.

Governance & Support

  • Establish best practices for MLOps, model lifecycle management, and reproducibility.
  • Collaborate with security teams on patching, secrets management, and compliance.
  • Provide L2/L3 support, troubleshooting, and root-cause analysis.
  • Create technical documentation and conduct user enablement sessions.

Required Qualifications

  • 3-5 years of experience administering Dataiku DSS in enterprise environments.
  • Strong DevOps background with CI/CD, Git workflows, and release automation.
  • Experience with Linux administration and scripting (Python, Bash).
  • Hands-on with Docker and Kubernetes.
  • Experience with at least one cloud provider (AWS, Azure, or GCP).
  • Knowledge of authentication/authorization (SSO, LDAP, Kerberos).
  • Solid understanding of data engineering concepts and SQL.