Your key responsibilities

 Administer and support enterprise Dataiku DSS platforms or any Adjacent platform , ensuring high availability, stability, and scalability.

 Manage platform deployments, upgrades, patching, migrations, and environment maintenance.

 Configure and manage compute resources including Spark, Kubernetes, and containerized execution environments.

 Support Data Science and AI/ML teams by enabling self-service capabilities and improving platform usability.

 Administer integrations with Snowflake, Postgres, Hadoop, and other enterprise data platforms.

 Develop automation solutions using Python and Shell scripting to reduce operational overhead.

 Implement and maintain CI/CD processes for project bundle promotion and platform changes.

 Manage authentication and authorization integrations such as LDAP, Active Directory, SSO, and

SAML.

 Monitor platform performance, disk utilization, memory consumption, and overall system health.

 Partner with security teams to ensure compliance, vulnerability remediation, governance, and audit readiness.

 Evaluate new platform capabilities, cloud services, and architectural improvements that support enterprise AI initiatives.

 Collaborate with business users, data scientists, developers, and infrastructure teams to support platform adoption and modernization.

Skills and attributes for success

  Strong platform engineering and infrastructure administration mindset.

  Ability to automate repetitive operational tasks through Python and Shell scripting.

  Experience troubleshooting complex production issues across multiple technology layers.

  Understanding of enterprise DevOps practices and Agile delivery methodologies.





  Strong analytical and problem-solving capabilities.

  Excellent stakeholder management and communication skills.

  Ability to work independently while managing multiple priorities.

  Experience designing scalable, secure, and repeatable platform solutions.

  Passion for platform modernization, automation, and continuous improvement.

  Ability to collaborate across engineering, security, data science, and business teams.

To qualify for the role, you must have

Platform Administration

 Experience supporting enterprise platforms in production environments.

 Experience managing platform upgrades, deployments, maintenance, and disaster recovery activities.

 Strong understanding of infrastructure and application administration.

Data Platforms

 Hands-on experience with platforms such as:

o Snowflake o Databricks o PostgreSQL o Hadoop o Cassandra o HVR

Scripting & Automation

 Strong Python development skills.

 Unix/Linux Shell scripting experience.

 Infrastructure automation experience.

DevOps & CI/CD

 Git repository management.

 CI/CD pipeline implementation and support.

 Agile delivery experience.

Security &Governance;

 Authentication and authorization management.

 LDAP, Active Directory, SSO, SAML integration experience.

 Governance, auditing, permissions,



and access control management.

Infrastructure

 Windows and Linux administration exposure.

 Performance tuning and capacity management experience.

 Monitoring, troubleshooting, and incident management experience.

Ideally, you’ll also have

 Direct Dataiku DSS administration experience or any adjacent platform admin experience.

 Kubernetes administration experience.

 Docker and container orchestration knowledge.

 Azure certification or cloud platform experience.

 Spark cluster administration.

 AI/ML platform support experience.

 Infrastructure-as-Code exposure.

 Enterprise data governance implementations.

 Experience supporting large-scale analytics and machine learning environments.

 Knowledge of Data Science platforms such as:

o Dataiku o H2O o Azure ML

What we look for

We are looking for a Platform Engineer/Admin who combines infrastructure expertise with automation and data platform administration skills.

The ideal candidate:

 Has robust experience supporting enterprise-scale data platforms.

 Can automate manual operational processes using Python and scripting.

 Understands Snowflake and modern analytics ecosystems.

 Is comfortable working with data scientists and AI/ML teams.

 Can drive platform reliability, performance, governance, and security.

 Has a proactive approach toward troubleshooting and operational excellence.

 Can evaluate new technologies and contribute to platform modernization initiatives.

 Communicates effectively with both technical and business stakeholders.

 Takes ownership of platform stability and user experience.

📌 Dataiku DSS Platform Administrator (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru