Platform Engineer

Insight Global; Cincinnati (OH); On-site; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Onsite in Downtown Cincinnati

Job summary

Insight Global is seeking a Senior Dataiku Platform Engineer to lead administration, automation, and enterprise integrations of the Dataiku DSS platform within a modern data ecosystem including Snowflake, AWS, dbt, and SharePoint. This hands‑on platform engineering role focuses on reliability, security, and governance so business teams can safely develop and operationalize data products.

The role is fully onsite in Downtown Cincinnati, five days a week, supporting a large banking client on a

Qualifications

• Extensive hands‑on experience administering and supporting enterprise Dataiku DSS environments.
• Strong Python programming and experience using Dataiku REST APIs/SDK for platform administration and automation.
• Proven experience with Dataiku bundles, Deployer, deployment workflows, and automated promotion between environments.
• Experience managing Dataiku connections, code environments, plugins, project permissions, and Project Standards.
• Experience implementing automated validation, governance controls, and production deployment checks.
• Strong AWS and Snowflake integration experience, including connectivity and troubleshooting.
• Linux/Unix administration, scripting, log analysis, production support, and root‑cause analysis.
• Understanding of enterprise security, RBAC, API keys, secrets management, and secure integration patterns.
• Ability to independently lead technical implementation and collaborate across teams.

Responsibilities

• Administer Dataiku DSS environments including Design and Automation nodes and plugins.
• Lead platform upgrades, planning and supporting the upgrades.
• Automate deployment, promotion, and health checks from Design to Automation.
• Implement governance‑as‑code with Project Standards and data quality controls.
• Automate onboarding/offboarding and credential management via Dataiku APIs and Okta/AD.
• Integrate Dataiku with Snowflake, AWS, and dbt for enterprise data products.
• Coordinate monitoring, incident visibility, and service integration with operations teams.
• Support Finance and other business units with production‑ready Dataiku solutions.

Skills

Dataiku DSS administration

Python scripting

Dataiku REST APIs/SDK

Deployer & deployment workflows

Governance‑as‑code

Snowflake integration

AWS integration

Linux/Unix administration

RBAC & secrets management

Okta/AD entitlement automation

Tools

HashiCorp Vault

Fortanix

Okta/Active Directory

Terraform

GitHub

Jenkins

CI/CD pipelines

Splunk

Dynatrace

AWS CloudWatch

Job description

We are seeking a Senior Dataiku Platform Engineer to lead the engineering, automation, governance, and enterprise integration of our Dataiku DSS platform within our modern data ecosystem, including Snowflake, AWS, dbt, and Microsoft SharePoint. This is a hands‑on platform engineering role, not a traditional data science position. The engineer will strengthen platform reliability and security, automate deployment and administrative processes, and establish governance‑as‑code practices that enable business teams, including Finance, to develop and operationalize data products safely. The ideal candidate will have extensive experience with Dataiku DSS administration, Python‑based automation, APIs, deployment engineering, and enterprise integrations, with the ability to independently design, implement, and support production‑grade solutions.

This position is supporting a large banking client in the Cincinnati, OH area. This opportunity is on a rolling contract, with yearly extensions at the start of each year. It will be fully onsite in Downtown Cincinnati 5 days a week.

Key Responsibilities

1. Platform Engineering and Administration

Administer and maintain Dataiku DSS environments, including Design and Automation nodes, connections, code environments, plugins, permissions, and platform configurations.

Lead platform upgrades, including planning and supporting the upgrades

Troubleshoot complex platform issues, analyze logs, perform root‑cause analysis, and improve platform stability and performance.

2. Deployment Automation and Governance

Enhance existing Python and Dataiku API‑based automation to streamline project promotion from Design through Deployer to Automation.

Automate bundle creation, publishing, deployment, configuration verification, and post‑deployment health checks.

Validate connections, code environments, plugin versions, deployment bundles, and Project Standards before deployment, blocking releases when critical checks fail.

Implement governance‑as‑code through Project Standards, automated data quality checks, and production‑readiness controls.

Improve automation reliability through structured logging, error handling, credential management, and repeatable execution.

3. Security and Identity Automation

Automate onboarding and offboarding of users, teams, connections, and functional accounts using Dataiku APIs.

Support migration to Okta/Active Directory group‑based entitlements and automate cleanup of obsolete access.

Integrate HashiCorp Vault for secure API key retrieval and partner with Information Security on Fortanix tokenization and field‑level encryption.

Maintain secure enterprise integrations, including Microsoft SharePoint Online certificate‑based authentication and credential rotation.

4. Snowflake and Enterprise Integrations

Build and maintain Dataiku integrations with Snowflake and AWS to support enterprise data products.

Automate deployment of Data Products from Design to Automation, including connection validation, permissions, and post‑deployment verification.

Support integration with dbt, Snowflake Cortex AI, Dataiku data lineage, and the enterprise Data Exchange marketplace.

Partner with data engineering and architecture teams to establish reusable patterns for secure, governed data products.

5. Operational Excellence and Platform Enablement

Integrate Dataiku monitoring and pipeline failure notifications with ServiceNow to improve incident management and operational visibility.

Automate license reclamation, cleanup of unused projects and scenarios, disabled‑user cleanup, and platform configuration checks.

Establish monitoring, documentation, operational procedures, and repeatable support practices.

Support Finance users through knowledge transfer, technical office hours, Lunch & Learn sessions, and guidance on production‑ready Dataiku solutions.

Coordinate with EDO, EuOps, Information Security, Finance, and Snowflake administration teams to resolve dependencies and deliver platform improvements.

Must Haves:

• Extensive hands‑on experience administering and supporting enterprise Dataiku DSS environments, including Design and Automation nodes.
• Strong Python programming and experience using Dataiku REST APIs/SDK for platform administration and automation.
• Proven experience with Dataiku bundles, Deployer, deployment workflows, and automated promotion between environments.
• Experience managing Dataiku connections, code environments, plugins, project permissions, and Project Standards.
• Experience implementing automated validation, governance controls, and production deployment checks.
• Strong AWS and Snowflake integration experience, including connectivity, authentication, and troubleshooting.
• Linux/Unix administration, scripting, log analysis, production support, and root‑cause analysis.
• Understanding of enterprise security, RBAC, API keys, secrets management, and secure integration patterns.
• Ability to independently lead technical implementation and collaborate across infrastructure, security, operations, and business teams.

Plus:

• HashiCorp Vault, Fortanix, Okta/Active Directory, and enterprise identity lifecycle automation.
• Terraform or other infrastructure‑as‑code tools.
• GitHub, Jenkins, CI/CD pipelines, automated testing, and release management.
• ServiceNow integration, monitoring, and observability tools such as Splunk, Dynatrace, or AWS CloudWatch.
• Microsoft SharePoint Online certificate‑based authentication and integration.
• dbt, Snowflake Cortex AI, data lineage, and enterprise data marketplace integration.
• Dataiku plugin development, advanced deployment automation, and data quality frameworks.

Compensation:

$65/hr to $75/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment.